BIBLIOGRAPHY.bib

@misc{ANSI2003a,
  title        = {Specification of {{ROMM RGB}}},
  author       = {{ANSI}},
  year         = 2003,
  pages        = {1--2},
}
@book{ANSI2018,
  title        = {{{ANSI}}/{{IES TM-30-18}} - {{IES Method}} for
    {{Evaluating Light Source Color Rendition}}},
  author       = {{ANSI} and {IES Color Committee}},
  year         = 2018,
  publisher    = {ANSI/IES},
  isbn         = {978-0-87995-379-9},
  annotation   = {thomas.mansencal@gmail.com},
}
@misc{ARRI2012a,
  title        = {{{ALEXA}} - {{Log C Curve}} - {{Usage}} in {{VFX}}},
  author       = {{ARRI}},
  year         = 2012,
}
@misc{ASTMInternational1989a,
  title        = {{{ASTM D1535-89}} - {{Standard Practice}} for
    {{Specifying Color}} by the {{Munsell System}}},
  author       = {{ASTM International}},
  year         = 1989,
  pages        = {1--29},
  urldate      = {2014-09-25},
  keywords     = {color,D1535,Munsell,Munsell color order
    system,Munsell notation},
}
@misc{ASTMInternational2007,
  title        = {{{ASTM D2244-07}} - {{Standard Practice}} for
    {{Calculation}} of {{Color Tolerances}} and {{Color Differences}}
    from {{Instrumentally Measured Color Coordinates}}},
  author       = {{ASTM International}},
  year         = 2007,
  volume       = {i},
  pages        = {1--10},
  doi          = {10.1520/D2244-16},
}
@misc{ASTMInternational2008a,
  title        = {{{ASTM D1535-08e1}} - {{Standard Practice}} for
    {{Specifying Color}} by the {{Munsell System}}},
  author       = {{ASTM International}},
  year         = 2008,
  doi          = {10.1520/D1535-08E01},
}
@misc{ASTMInternational2011a,
  title        = {{{ASTM E2022-11}} - {{Standard Practice}} for
    {{Calculation}} of {{Weighting Factors}} for {{Tristimulus
    Integration}}},
  author       = {{ASTM International}},
  year         = 2011,
  pages        = {1--10},
  doi          = {10.1520/E2022-11},
  abstract     = {This standard is issued under the fixed designation
    E2022; the number immediately following the designation indicates
    the year of original adoption or, in the case of revision, the
    year of last revision. A number in parentheses indicates the year
    of last reapproval. A superscript epsilon) indicates an editorial
    change since the last revision or reapproval.},
}
@misc{ASTMInternational2015,
  title        = {{{ASTM E313-15e1}} - {{Standard Practice}} for
    {{Calculating Yellowness}} and {{Whiteness Indices}} from
    {{Instrumentally Measured Color Coordinates}}},
  author       = {{ASTM International}},
  year         = 2015,
  doi          = {10.1520/E0313-20},
}
@misc{ASTMInternational2015b,
  title        = {{{ASTM E308-15}} - {{Standard Practice}} for
    {{Computing}} the {{Colors}} of {{Objects}} by {{Using}} the {{CIE
    System}}},
  author       = {{ASTM International}},
  year         = 2015,
  pages        = {1--47},
  doi          = {10.1520/E0308-15},
}
@article{Abebe2017,
  title        = {Perceptual {{Lightness Modeling}} for
    {{High-Dynamic-Range Imaging}}},
  author       = {Abebe, Mekides Assefa and Pouli, Tania and Larabi,
    Mohamed-Chaker and Reinhard, Erik},
  year         = 2017,
  month        = jul,
  journal      = {ACM Transactions on Applied Perception},
  volume       = 15,
  number       = 1,
  pages        = {1--19},
  issn         = 15443558,
  doi          = {10.1145/3086577},
  abstract     = {{\copyright} 2017 ACM. The human visual system (HVS)
    non-linearly processes light from the real world, allowing us to
    perceive detail over a wide range of illumination. Although models
    that describe this non-linearity are constructed based on
    psycho-visual experiments, they generally apply to a limited range
    of illumination and therefore may not fully explain the behavior
    of theHVS under more extreme illumination conditions. We propose a
    modified experimental protocol for measuring visual responses to
    emissive stimuli that do not require participant training, nor
    requiring the exclusion of non-expert participants. Furthermore,
    the protocol can be applied to stimuli covering an extended
    luminance range. Based on the outcome of our experiment, we
    propose a new model describing lightness response over an extended
    luminance range. The model can be integrated with existing color
    appearance models or perceptual color spaces. To demonstrate the
    effectiveness of our model in high dynamic range applications, we
    evaluate its suitability for dynamic range expansion relative to
    existing solutions.},
}
@misc{AdobeSystems2005a,
  title        = {Adobe {{RGB}} (1998) {{Color Image Encoding}}},
  author       = {{Adobe Systems}},
  year         = 2005,
}
@misc{AdobeSystems2013,
  title        = {Adobe {{DNG Software Development Kit}} ({{SDK}}) -
    1.3.0.0 -
    Dng\_sdk\_1\_3/Dng\_sdk/Source/Dng\_temperature.Cpp::Dng\_temperature::{{Set}}\_xy\_coord},
  author       = {{Adobe Systems}},
  year         = 2013,
}
@misc{AdobeSystems2013a,
  title        = {Adobe {{DNG Software Development Kit}} ({{SDK}}) -
    1.3.0.0 -
    Dng\_sdk\_1\_3/Dng\_sdk/Source/Dng\_temperature.Cpp::Dng\_temperature::Xy\_coord},
  author       = {{Adobe Systems}},
  year         = 2013,
}
@misc{AdobeSystems2013b,
  title        = {Cube {{LUT Specification}}},
  author       = {{Adobe Systems}},
  year         = 2013,
  keywords     = {Iridas,look-up table,specification},
}
@misc{AppleInc.2019,
  title        = {{{displayP3}}},
  author       = {{Apple Inc.}},
  year         = 2019,
  urldate      = {2019-12-18},
  howpublished = {https://developer.apple.com/documentation/coregraphics/cgcolorspace/1408916-displayp3},
}
@misc{AppleInc.2023,
  title        = {Apple {{Log Profile White Paper}}},
  author       = {{Apple Inc.}},
  year         = 2023,
  langid       = {english},
}
@misc{AssociationofRadioIndustriesandBusinesses2015a,
  title        = {Essential {{Parameter Values}} for the {{Extended
    Image Dynamic Range Television}} ({{EIDRTV}}) {{System}} for
    {{Programme Production}}},
  author       = {{Association of Radio Industries and Businesses}},
  year         = 2015,
}
@misc{BabelColor2012b,
  title        = {The {{ColorChecker}} (since 1976!)},
  author       = {{BabelColor}},
  year         = 2012,
  urldate      = {2014-09-26},
  howpublished = {http://www.babelcolor.com/main\_level/ColorChecker.htm},
}
@misc{BabelColor2012c,
  title        = {{{ColorChecker RGB}} and Spectra},
  author       = {{BabelColor}},
  year         = 2012,
}
@book{Barten1999,
  title        = {Contrast {{Sensitivity}} of the {{Human Eye}} and
    {{Its Effects}} on {{Image Quality}}},
  author       = {Barten, Peter G.},
  year         = 1999,
  month        = dec,
  number       = 1999,
  publisher    = {SPIE},
  issn         = 10924388,
  doi          = {10.1117/3.353254},
  isbn         = {978-0-8194-7849-8},
  pmid         = 18723593,
}
@inproceedings{Barten2003,
  title        = {Formula for the Contrast Sensitivity of the Human
    Eye},
  booktitle    = {Proceedings of {{SPIE}}},
  author       = {Barten, Peter G. J.},
  editor       = {Miyake, Yoichi and Rasmussen, D. Rene},
  year         = 2003,
  month        = dec,
  volume       = 5294,
  pages        = {231--238},
  issn         = {0277786X},
  doi          = {10.1117/12.537476},
  abstract     = {The contrast sensitivity of the human eye and its
    dependence on luminance and display size is described on the basis
    of internal noise in the visual system. With the addition of a
    global description of the optical MTF of the eye, a complete
    physical model is presented for the spatial contrast sensitivity
    function. Calculation results obtained with this model are
    compared with measurements published in literature.},
  isbn         = {0-8194-3496-5},
  keywords     = {contrast sensitivity,csf,human eye,orientation
    angle,standard observer,surround luminance},
}
@article{Bianco2010a,
  title        = {Two New von {{Kries}} Based Chromatic Adaptation
    Transforms Found by Numerical Optimization},
  author       = {Bianco, S. and Schettini, R.},
  year         = 2010,
  month        = jun,
  journal      = {Color Research \& Application},
  volume       = 35,
  number       = 3,
  pages        = {184--192},
  issn         = 03612317,
  doi          = {10.1002/col.20573},
  urldate      = {2014-09-26},
}
@misc{BlackmagicDesign2020,
  title        = {{{DaVinci Wide Gamut}} - {{DaVinci Resolve Studio}}
    17 {{Public Beta}} 1},
  author       = {{Blackmagic Design}},
  year         = 2020,
  month        = nov,
}
@misc{BlackmagicDesign2020a,
  title        = {Wide {{Gamut Intermediate DaVinci Resolve}}},
  author       = {{Blackmagic Design}},
  year         = 2020,
  urldate      = {2020-12-12},
}
@misc{BlackmagicDesign2021,
  title        = {Blackmagic {{Generation}} 5 {{Color Science}}},
  author       = {{Blackmagic Design}},
  year         = 2021,
}
@article{Bodhaine1999a,
  title        = {On {{Rayleigh Optical Depth Calculations}}},
  author       = {Bodhaine, Barry A. and Wood, Norman B. and Dutton,
    Ellsworth G. and Slusser, James R.},
  year         = 1999,
  month        = nov,
  journal      = {Journal of Atmospheric and Oceanic Technology},
  volume       = 16,
  number       = 11,
  pages        = {1854--1861},
  issn         = {0739-0572},
  doi          = {10.1175/1520-0426(1999)016<1854:ORODC>2.0.CO;2},
  urldate      = {2014-09-25},
  abstract     = {Many different techniques are used for the
    calculation of Rayleigh optical depth in the atmosphere. In some
    cases differences among these techniques can be important,
    especially in the UV region of the spectrum and under clean
    atmospheric conditions. The authors recommend that the calculation
    of Rayleigh optical depth be approached by going back to the first
    principles of Rayleigh scattering theory rather than the variety
    of curve- fitting techniques currently in use. A survey of the
    literature was conducted in order to determine the latest values
    of the physical constants necessary and to review the methods
    available for the calculation of Rayleigh optical depth. The
    recommended approach requires the accurate calculation of the
    refractive index of air based on the latest published
    measurements. Calculations estimating Rayleigh optical depth
    should be done as accurately as possible because the inaccuracies
    that arise can equal or even exceed other quantities being
    estimated, such as aerosol optical depth, particularly in the UV
    region of the spectrum. All of the calculations are simple enough
    to be done easily in a spreadsheet.},
}
@misc{Borer2017a,
  title        = {Private {{Discussion}} with {{Mansencal}}, {{T}}.
    and {{Shaw}}, {{N}}.},
  author       = {Borer, Tim},
  year         = 2017,
}
@misc{Bourkea,
  title        = {Intersection Point of Two Line Segments in 2
    Dimensions},
  author       = {Bourke, Paul},
  urldate      = {2016-01-15},
  howpublished = {http://paulbourke.net/geometry/pointlineplane/},
}
@misc{Bourkeb,
  title        = {Trilinear {{Interpolation}}},
  author       = {Bourke, Paul},
  urldate      = {2018-01-13},
  howpublished = {http://paulbourke.net/miscellaneous/interpolation/},
}
@article{Breneman1987b,
  title        = {Corresponding Chromaticities for Different States of
    Adaptation to Complex Visual Fields},
  author       = {Breneman, Edwin J.},
  year         = 1987,
  month        = jun,
  journal      = {Journal of the Optical Society of America A},
  volume       = 4,
  number       = 6,
  pages        = 1115,
  issn         = {1084-7529},
  doi          = {10.1364/JOSAA.4.001115},
  urldate      = {2014-09-27},
  abstract     = {While each of his or her two eyes was independently
    adapted to a different illuminant in viewing a complex visual
    field, each of a number of observers matched a series of test
    colors seen by one eye with a juxtaposed variable stimulus seen by
    the other eye. The 2 degrees test and matching stimuli were
    located centrally in the complex adapting field, which subtended
    an angle of 31 degrees X 24 degrees. In making the matches, the
    observer viewed the test and matching stimuli for a series of
    brief intervals (approximately 1 sec) while viewing the complex
    adapting field with normal eye movements. Nine experiments were
    performed with different pairs of illuminants and different
    illuminances ranging from that of an average living room to that
    of a scene illuminated with hazy sunlight. In three other
    experiments each of the observer's two eyes was adapted to a
    different illuminance of D55. The amount of adaptation was more
    nearly complete at high levels of illuminance than at low levels,
    and the proportional amount of adaptation was less for the "blue"
    receptors. When adaptation coefficients were determined from the
    actual adaptation differences (e.g., from corresponding
    tristimulus values for matching neutrals) rather than from the
    adapting illuminants, a linear von Kries transformation based on
    experimentally determined visual primaries gave corresponding
    chromaticities that were in good agreement with the results
    obtained in each of the chromatic-adaptation experiments, except
    at the lowest illuminances. The results of the experiments in
    which each eye was adapted to different levels of the same
    illuminant indicated again that adaptation to the different levels
    was incomplete, the proportional amount of adaptation being less
    at low illuminances and for the "blue" receptors. This caused a
    change in chromatic adaptation with the level of illuminance even
    when the chromaticities of the adapting lights were equal. The
    results of these experiments also indicated that higher purities
    are needed in order to produce the same absolute color appearances
    at low levels of illuminance.},
  pmid         = 3598755,
}
@article{Brill2008a,
  title        = {Repairing Gamut Problems in {{CIECAM02}}: {{A}}
    Progress Report},
  author       = {Brill, Michael H. and Susstrunk, Sabine},
  year         = 2008,
  month        = oct,
  journal      = {Color Research \& Application},
  volume       = 33,
  number       = 5,
  pages        = {424--426},
  issn         = 03612317,
  doi          = {10.1002/col.20432},
  urldate      = {2014-10-02},
  abstract     = {The color-appearance model CIECAM02 has several
    problems. which can result in mathematical instabilities, due to
    the position of the chromatic-adaptation primaries relative to the
    spectrum locus and to the presumed physiological cone primaries.
    To keep a corresponding (adapted) color within the positive gamut
    given by the chromatic adaptation primaries, the gamut must he
    within the cone primary octant. To contain adapted colors within
    the positive cone-primary octan, it suffices to truncate the
    action of adaptation at the boundary of that octant. Such
    modifications may be needed to avoid the mathematical problems in
    CIECAM02.},
  keywords     = {Chromatic adaptation,CIECAM02,Color
    appearance,Gamut,Model,Primary},
}
@misc{Broadbent2009a,
  title        = {Calculation from the {{Original Experimental Data}}
    of the {{Cie}} 1931 {{RGB Standard Observer Spectral Chromaticity
    Co-Ordinates}} and {{Color Matching Functions}}.},
  author       = {Broadbent, A. D.},
  year         = 2009,
  journal      = {Qu{\'e}bec, Canada: D{\'e}partement de g{\'e}nie
    chimique, {\dots}},
  pages        = {1--17},
  urldate      = {2014-06-12},
  abstract     = {This paper describes all the steps in the
    calculations of the CIE 1931 RGB spectral chromaticity
    co-ordinates and color matching functions starting from the
    initial experimental data of W. D. Wright and J. Guild. Sufficient
    information is given to allow the reader to reproduce and verify
    the results obtained at each stage of the calculations and to
    critically analyze the procedures used. In some instances, the
    available literature only provides limited descriptions of the
    actual steps in the calculations and, in others, important data
    were not published. Nevertheless, it has been possible to more or
    less reproduce the entire sequence of calculations. All the tables
    of numerical data are given in the accompanying computer worksheet
    file CIE1931\_RGB.xls.},
  howpublished = {http://www.cis.rit.edu/mcsl/research/1931.php},
}
@book{Burger2009b,
  title        = {Principles of {{Digital Image Processing}}},
  author       = {Burger, Wilhelm and Burge, Mark James},
  year         = 2009,
  publisher    = {Springer London},
  address      = {London},
  doi          = {10.1007/978-1-84800-195-4},
  isbn         = {978-1-84800-194-7},
}
@book{CIEDivision12022,
  title        = {{{CIE}} 248:2022 {{The CIE}} 2016 {{Colour
    Appearance Model}} for {{Colour Management Systems}}: {{CIECAM16}}},
  author       = {{CIE Division 1} and {CIE Division 8}},
  year         = 2022,
  publisher    = {Commission Internationale de l'Eclairage},
  isbn         = {978-3-902842-94-7},
}
@book{CIETC1-321994b,
  title        = {{{CIE}} 109-1994 {{A Method}} of {{Predicting
    Corresponding Colours}} under {{Different Chromatic}} and
    {{Illuminance Adaptations}}},
  author       = {{CIE TC 1-32}},
  year         = 1994,
  publisher    = {Commission Internationale de l'Eclairage},
  isbn         = {978-3-900734-51-0},
}
@book{CIETC1-362006a,
  title        = {{{CIE}} 170-1:2006 {{Fundamental Chromaticity
    Diagram}} with {{Physiological Axes}} - {{Part}} 1},
  author       = {{CIE TC 1-36}},
  year         = 2006,
  publisher    = {Commission Internationale de l'Eclairage},
  isbn         = {978-3-901906-46-6},
}
@incollection{CIETC1-382005e,
  title        = {9. {{INTERPOLATION}}},
  booktitle    = {{{CIE}} 167:2005 {{Recommended Practice}} for
    {{Tabulating Spectral Data}} for {{Use}} in {{Colour
    Computations}}},
  author       = {{CIE TC 1-38}},
  year         = 2005,
  pages        = {14--19},
  isbn         = {978-3-901906-41-1},
}
@incollection{CIETC1-382005f,
  title        = {9.2.4 {{Method}} of Interpolation for Uniformly
    Spaced Independent Variable},
  booktitle    = {{{CIE}} 167:2005 {{Recommended Practice}} for
    {{Tabulating Spectral Data}} for {{Use}} in {{Colour
    Computations}}},
  author       = {{CIE TC 1-38}},
  year         = 2005,
  pages        = {1--27},
  isbn         = {978-3-901906-41-1},
}
@incollection{CIETC1-382005g,
  title        = {{{EXTRAPOLATION}}},
  booktitle    = {{{CIE}} 167:2005 {{Recommended Practice}} for
    {{Tabulating Spectral Data}} for {{Use}} in {{Colour
    Computations}}},
  author       = {{CIE TC 1-38}},
  year         = 2005,
  pages        = {19--20},
  isbn         = {978-3-901906-41-1},
}
@incollection{CIETC1-382005h,
  title        = {Table {{V}}. {{Values}} of the c-Coefficients of
    {{Equ}}.s 6 and 7.},
  booktitle    = {{{CIE}} 167:2005 {{Recommended Practice}} for
    {{Tabulating Spectral Data}} for {{Use}} in {{Colour
    Computations}}},
  author       = {{CIE TC 1-38}},
  year         = 2005,
  pages        = 19,
  isbn         = {978-3-901906-41-1},
}
@incollection{CIETC1-482004,
  title        = {{{EXPLANATORY COMMENTS}} - 5},
  booktitle    = {{{CIE}} 015:2004 {{Colorimetry}}, 3rd {{Edition}}},
  author       = {{CIE TC 1-48}},
  year         = 2004,
  pages        = {68--68},
  isbn         = {978-3-901906-33-6},
}
@book{CIETC1-482004h,
  title        = {{{CIE}} 015:2004 {{Colorimetry}}, 3rd {{Edition}}},
  author       = {{CIE TC 1-48}},
  year         = 2004,
  journal      = {CIE 015:2004 Colorimetry, 3rd Edition},
  publisher    = {Commission Internationale de l'Eclairage},
  isbn         = {978-3-901906-33-6},
}
@incollection{CIETC1-482004i,
  title        = {{{APPENDIX E}}. {{INFORMATION ON THE USE OF
    PLANCK}}'{{S EQUATION FOR STANDARD AIR}}},
  booktitle    = {{{CIE}} 015:2004 {{Colorimetry}}, 3rd {{Edition}}},
  author       = {{CIE TC 1-48}},
  year         = 2004,
  pages        = {77--82},
  isbn         = {978-3-901906-33-6},
}
@incollection{CIETC1-482004j,
  title        = {{{CIE}} 1976 Uniform Chromaticity Scale Diagram
    ({{UCS}} Diagram)},
  booktitle    = {{{CIE}} 015:2004 {{Colorimetry}}, 3rd {{Edition}}},
  author       = {{CIE TC 1-48}},
  year         = 2004,
  pages        = 24,
  isbn         = {978-3-901906-33-6},
}
@incollection{CIETC1-482004k,
  title        = {The Evaluation of Whiteness},
  booktitle    = {{{CIE}} 015:2004 {{Colorimetry}}, 3rd {{Edition}}},
  author       = {{CIE TC 1-48}},
  year         = 2004,
  pages        = 24,
  isbn         = {978-3-901906-33-6},
}
@incollection{CIETC1-482004l,
  title        = {Extrapolation},
  booktitle    = {{{CIE}} 015:2004 {{Colorimetry}}, 3rd {{Edition}}},
  author       = {{CIE TC 1-48}},
  year         = 2004,
  pages        = 24,
  isbn         = {978-3-901906-33-6},
}
@incollection{CIETC1-482004m,
  title        = {{{CIE}} 1976 Uniform Colour Spaces},
  booktitle    = {{{CIE}} 015:2004 {{Colorimetry}}, 3rd {{Edition}}},
  author       = {{CIE TC 1-48}},
  year         = 2004,
  pages        = 24,
  isbn         = {978-3-901906-33-6},
}
@incollection{CIETC1-482004n,
  title        = {3.1 {{Recommendations}} Concerning Standard Physical
    Data of Illuminants},
  booktitle    = {{{CIE}} 015:2004 {{Colorimetry}}, 3rd {{Edition}}},
  author       = {{CIE TC 1-48}},
  year         = 2004,
  pages        = {12--13},
  isbn         = {978-3-901906-33-6},
}
@incollection{CIETC1-482004o,
  title        = {9.1 {{Dominant}} Wavelength and Purity},
  booktitle    = {{{CIE}} 015:2004 {{Colorimetry}}, 3rd {{Edition}}},
  author       = {{CIE TC 1-48}},
  year         = 2004,
  pages        = {32--33},
  isbn         = {978-3-901906-33-6},
}
@book{CIETC1-902017,
  title        = {{CIE 2017 colour fidelity index for accurate
    scientific use}},
  author       = {{CIE TC 1-90}},
  year         = 2017,
  series       = {{Technical report / CIE}},
  number       = 224,
  publisher    = {CIE Central Bureau},
  address      = {Vienna},
  isbn         = {978-3-902842-61-9},
  langid       = {eng fre ger},
  annotation   = {OCLC: 988568299},
}
@misc{CIEce,
  title        = {{{CIE}} 15:2004 {{Tables Data}}},
  author       = {{CIE}},
  year         = 2004,
}
@misc{CIEcf,
  title        = {{{CIE Spectral Data}}},
  author       = {{CIE}},
}
@misc{CVRLp,
  title        = {{{CIE}} (2012) 10-Deg {{XYZ}}
    "Physiologically-Relevant" Colour Matching Functions},
  author       = {{CVRL}},
  urldate      = {2014-06-25},
  howpublished = {http://www.cvrl.org/database/text/cienewxyz/cie2012xyz10.htm},
}
@misc{CVRLq,
  title        = {Luminous Efficiency},
  author       = {{CVRL}},
  urldate      = {2014-04-19},
  howpublished = {http://www.cvrl.org/lumindex.htm},
}
@misc{CVRLr,
  title        = {New {{CIE XYZ}} Functions Transformed from the
    {{CIE}} (2006) {{LMS}} Functions},
  author       = {{CVRL}},
  urldate      = {2014-02-24},
  howpublished = {http://cvrl.ioo.ucl.ac.uk/ciexyzpr.htm},
}
@misc{CVRLs,
  title        = {Older {{CIE Standards}}},
  author       = {{CVRL}},
  urldate      = {2014-02-24},
  howpublished = {http://cvrl.ioo.ucl.ac.uk/cie.htm},
}
@misc{CVRLt,
  title        = {Stiles \& {{Burch}} Individual 10-Deg Colour
    Matching Data},
  author       = {{CVRL}},
  urldate      = {2014-02-24},
  howpublished = {http://www.cvrl.org/stilesburch10\_ind.htm},
}
@misc{CVRLu,
  title        = {Cone {{Fundamentals}}},
  author       = {Stockman, Andrew and Sharpe, Lindsay T.},
  year         = 2000,
  urldate      = {2014-06-23},
  howpublished = {http://www.cvrl.org/cones.htm},
}
@misc{CVRLv,
  title        = {{{CIE}} (2012) 2-Deg {{XYZ}}
    "Physiologically-Relevant" Colour Matching Functions},
  author       = {{CVRL}},
  urldate      = {2014-06-25},
  howpublished = {http://www.cvrl.org/database/text/cienewxyz/cie2012xyz2.htm},
}
@misc{CVRLw,
  title        = {Stiles \& {{Burch}} Individual 2-Deg Colour Matching
    Data},
  author       = {{CVRL}},
  urldate      = {2014-02-24},
  howpublished = {http://www.cvrl.org/stilesburch2\_ind.htm},
}
@misc{Cabello2015,
  title        = {{{PlaneGeometry}}.Js},
  author       = {Cabello, Ricardo},
  urldate      = {2015-05-12},
  howpublished = {https://github.com/mrdoob/three.js/blob/dev/src/geometries/PlaneGeometry.js},
}
@misc{Canon2014a,
  title        = {{{EOS C500 Firmware Update}}},
  author       = {{Canon}},
  year         = 2014,
  urldate      = {2016-08-27},
  howpublished = {https://www.usa.canon.com/internet/portal/us/home/explore/product-showcases/cameras-and-lenses/cinema-eos-firmware/c500},
}
@misc{Canon2016,
  title        = {Input {{Transform Version}} 201612 for {{EOS C300
    Mark II}}},
  author       = {{Canon}},
  year         = 2016,
  urldate      = {2016-08-23},
  howpublished = {https://www.usa.canon.com/internet/portal/us/home/support/details/cameras/cinema-eos/eos-c300-mark-ii},
}
@misc{Canon2020,
  title        = {Input {{Transform Version}} 202007 for {{EOS C300
    Mark II}}},
  author       = {{Canon}},
  year         = 2020,
  urldate      = {2023-07-16},
  howpublished = {https://www.usa.canon.com/internet/portal/us/home/support/details/cameras/cinema-eos/eos-c300-mark-ii},
}
@article{Cao2013,
  title        = {Comparison of the Performance of Inverse
    Transformation Methods from {{OSA-UCS}} to {{CIEXYZ}}},
  author       = {Cao, Renbo and Trussell, H Joel and Shamey, Renzo},
  year         = 2013,
  month        = aug,
  journal      = {Journal of the Optical Society of America A},
  volume       = 30,
  number       = 8,
  pages        = 1508,
  issn         = {1084-7529},
  doi          = {10.1364/JOSAA.30.001508},
  abstract     = {The Optical Society of America's Uniform Color
    Scales (OSA-UCS) is one of the color spaces that most closely
    approximate a "true" uniform color space. Different techniques
    have been used to convert OSA-UCS-based color specification
    parameters, L, j, and g, to the CIE tristimulus values, X, Y, and
    Z. However, none of these methods provides a direct method of
    inverting OSA-UCS to CIEXYZ values. Thus, numerical algorithms,
    such as the Newton-Raphson method, have been employed to obtain
    the transformations. The relative low accuracy and long
    computation time of this method makes it undesirable for practical
    applications. An artificial neural network (ANN) was employed to
    convert OSA-UCS to CIEXYZ. Its performance was compared with that
    of numerical methods. After optimization, ANN gave a better
    performance with a mean error (DeltaEXYZ) of 1.0x10(-4) and a
    conversion time of less than 1 s for 1891 samples.},
  isbn         = {1520-8532 (Electronic){\textbackslash}r1084-7529
    (Linking)},
  pmid         = 24323208,
}
@techreport{Carter2018,
  title        = {{{CIE}} 015:2018 {{Colorimetry}}, 4th {{Edition}}},
  author       = {Carter, E.C. and Schanda, J.D. and Hirschler, R. and
    Jost, S. and Luo, M.R. and Melgosa, M. and Ohno, Y. and Pointer,
    M.R. and Rich, D.C. and Vienot, F. and Whitehead, L. and Wold,
    J.H.},
  year         = 2018,
  month        = oct,
  address      = {Vienna},
  institution  = {International Commission on Illumination},
  doi          = {10.25039/TR.015.2018},
  isbn         = 9783902842138,
}
@misc{Castro2014a,
  title        = {Numpy: {{Fastest}} Way of Computing Diagonal for
    Each Row of a 2d Array},
  author       = {Castro, Saullo},
  year         = 2014,
  urldate      = {2014-08-22},
  howpublished = {http://stackoverflow.com/questions/26511401/numpy-fastest-way-of-computing-diagonal-for-each-row-of-a-2d-array/26517247\#26517247},
}
@article{Centore2012a,
  title        = {An Open-Source Inversion Algorithm for the
    {{Munsell}} Renotation},
  author       = {Centore, Paul},
  year         = 2012,
  month        = dec,
  journal      = {Color Research \& Application},
  volume       = 37,
  number       = 6,
  pages        = {455--464},
  issn         = 03612317,
  doi          = {10.1002/col.20715},
  urldate      = {2014-09-26},
  keywords     = {algorithm,inverse renotation,munsell,open
    source,renotation},
}
@misc{Centore2014k,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{MunsellRenotationRoutines}}/{{MunsellHueToASTMHue}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centore2014l,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{MunsellSystemRoutines}}/{{LinearVsRadialInterpOnRenotationOvoid}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centore2014m,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{MunsellRenotationRoutines}}/{{MunsellToxyY}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centore2014n,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{MunsellRenotationRoutines}}/{{FindHueOnRenotationOvoid}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centore2014o,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{MunsellSystemRoutines}}/{{BoundingRenotationHues}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centore2014p,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{MunsellRenotationRoutines}}/{{xyYtoMunsell}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centore2014q,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{MunsellRenotationRoutines}}/{{MunsellToxyForIntegerMunsellValue}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centore2014r,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{MunsellRenotationRoutines}}/{{MaxChromaForExtrapolatedRenotation}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centore2014s,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{MunsellRenotationRoutines}}/{{MunsellHueToChromDiagHueAngle}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centore2014t,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{MunsellRenotationRoutines}}/{{ChromDiagHueAngleToMunsellHue}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centore2014u,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{GeneralRoutines}}/{{CIELABtoApproxMunsellSpec}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centorea,
  title        = {The {{Munsell}} and {{Kubelka-Munk Toolbox}}},
  author       = {Centore, Paul},
  urldate      = {2018-01-23},
  howpublished = {http://www.munsellcolourscienceforpainters.com/MunsellAndKubelkaMunkToolbox/MunsellAndKubelkaMunkToolbox.html},
}
@misc{Chamberlain2015,
  title        = {{{LUT}} Documentation (to Create from Another
    Program)},
  author       = {Chamberlain, Peter},
  year         = 2015,
  urldate      = {2018-08-23},
  howpublished = {https://forum.blackmagicdesign.com/viewtopic.php?f=21\&t=40284\#p232952},
}
@article{Cheung2004,
  title        = {A Comparative Study of the Characterisation of
    Colour Cameras by Means of Neural Networks and Polynomial
    Transforms},
  author       = {Cheung, Vien and Westland, Stephen and Connah, David
    and Ripamonti, Caterina},
  year         = 2004,
  journal      = {Coloration Technology},
  volume       = 120,
  number       = 1,
  pages        = {19--25},
  issn         = 14723581,
  doi          = {10.1111/j.1478-4408.2004.tb00201.x},
  abstract     = {The proliferation of low-cost colour imaging devices
    in the consumer market has led to a greater need to transfer
    images from one medium or device to another without loss of colour
    fidelity. A common solution is to characterise each device in
    terms of its CIE tristimulus values. In this paper two general
    techniques, artificial neural networks and polynomial transforms,
    are compared for their usefulness in characterising colour
    cameras. The neural and polynomial techniques are shown to give
    approximately similar performance once the parameters of the
    models are optimised. Since neural networks can be difficult and
    time-consuming to train, it is concluded that polynomial
    transforms offer the better alternative for camera
    characterisation.},
}
@misc{Colblindora,
  title        = {Deuteranopia - {{Red-Green Color Blindness}}},
  author       = {{Colblindor}},
  urldate      = {2015-07-04},
  howpublished = {http://www.color-blindness.com/deuteranopia-red-green-color-blindness/},
}
@misc{Colblindorb,
  title        = {Protanopia - {{Red-Green Color Blindness}}},
  author       = {{Colblindor}},
  urldate      = {2015-07-04},
  howpublished = {http://www.color-blindness.com/protanopia-red-green-color-blindness/},
}
@misc{Colblindorc,
  title        = {Tritanopia - {{Blue-Yellow Color Blindness}}},
  author       = {{Colblindor}},
  urldate      = {2015-07-04},
  howpublished = {http://www.color-blindness.com/tritanopia-blue-yellow-color-blindness/},
}
@misc{Cooper2022,
  title        = {{{ARRI LogC4 Logarithmic Color Space SPECIFICATION}}},
  author       = {Cooper, Sean and Brendel, Harald},
  year         = 2022,
  urldate      = {2022-10-24},
}
@misc{Cottrella,
  title        = {The {{Russell RGB}} Working Color Space},
  author       = {Cottrell, Russell},
}
@article{Cowan2004,
  title        = {Contrast {{Sensitivity Experiment}} to {{Determine}}
    the {{Bit Depth}} for {{Digital Cinema}}},
  author       = {Cowan, Matthew and Kennel, Glenn and Maier, Thomas
    and Walker, Brad},
  year         = 2004,
  month        = sep,
  journal      = {SMPTE Motion Imaging Journal},
  volume       = 113,
  number       = 9,
  pages        = {281--292},
  issn         = {2160-2492},
  doi          = {10.5594/j11549},
  abstract     = {The SMPTE Color ad hoc group was formed in 2001
    (under DC28.2) to investigate the colorimetric requirements for
    the Digital Cinema Distribution Master (DCDM). A draft
    specification on color image encoding was published in September
    2002 that recommended the use of XYZ color space, a gamma 1/2.6
    transfer function, and 12 bits per color. With the support of
    Digital Cinema Initiatives (DCI), a test was designed to verify
    these color image encoding parameters. This paper reports the
    results of the contrast sensitivity experiment, which showed that
    many of our observers could see a modulation corresponding to a
    one code value change with 10-bit encoding, but few observers
    would see a one-code value change with 12-bit encoding. This
    result matches the results of published contrast sensitivity
    experiments.},
}
@article{Cui2002,
  ids          = {Cui2002a},
  title        = {Uniform Colour Spaces Based on the {{DIN99}}
    Colour-Difference Formula},
  author       = {Cui, G. and Luo, M. R. and Rigg, B. and Roesler, G.
    and Witt, K.},
  year         = 2002,
  journal      = {Color Research \& Application},
  volume       = 27,
  number       = 4,
  pages        = {282--290},
  issn         = {1520-6378},
  doi          = {10.1002/col.10066},
  urldate      = {2021-01-21},
  abstract     = {Several colour-difference formulas such as CMC,
    CIE94, and CIEDE2000 have been developed by modifying CIELAB.
    These formulas give much better fits for experimental data based
    on small colour differences than does CIELAB. None of these has an
    associated uniform colour space (UCS). The need for a UCS is
    demonstrated by the widespread use of the a*b* diagram despite the
    lack of uniformity. This article describes the development of
    formulas, with the same basic structure as the DIN99 formula, that
    predict the experimental data sets better than do the CMC and
    CIE94 colour-difference formulas and only slightly worse than
    CIEDE2000 (which was optimized on the experimental data). However,
    these formulas all have an associated UCS. The spaces are similar
    in form to L*a*b*. {\copyright} 2002 Wiley Periodicals, Inc. Col
    Res Appl, 27, 282--290, 2002; Published online in Wiley
    InterScience (www.interscience.wiley.com). DOI 10.1002/col.10066},
  copyright    = {Copyright {\copyright} 2002 Wiley Periodicals, Inc.},
  langid       = {english},
  keywords     = {colour discrimination ellipses,colour-difference
    metrics,uniform colour space},
}
@misc{DJI2017,
  title        = {White {{Paper}} on {{D-Log}} and {{D-Gamut}} of
    {{DJI Cinema Color System}}},
  author       = {{Dji}},
  year         = 2017,
  pages        = {1--5},
}
@article{Darrodi2015a,
  title        = {Reference Data Set for Camera Spectral Sensitivity
    Estimation},
  author       = {Darrodi, Maryam Mohammadzadeh and Finlayson, Graham
    and Goodman, Teresa and Mackiewicz, Michal},
  year         = 2015,
  month        = mar,
  journal      = {Journal of the Optical Society of America A},
  volume       = 32,
  number       = 3,
  pages        = 381,
  issn         = {1084-7529},
  doi          = {10.1364/JOSAA.32.000381},
}
@article{David2015,
  title        = {Development of the {{IES}} Method for Evaluating the
    Color Rendition of Light Sources},
  author       = {David, Aurelien and Fini, Paul T. and Houser, Kevin
    W. and Ohno, Yoshi and Royer, Michael P. and Smet, Kevin A. G. and
    Wei, Minchen and Whitehead, Lorne},
  year         = 2015,
  month        = jun,
  journal      = {Optics Express},
  volume       = 23,
  number       = 12,
  pages        = 15888,
  issn         = {1094-4087},
  doi          = {10.1364/OE.23.015888},
  urldate      = {2021-05-22},
  abstract     = {We have developed a two-measure system for
    evaluating light sources' color rendition that builds upon
    conceptual progress of numerous researchers over the last two
    decades. The system quantifies the color fidelity and color gamut
    (change in object chroma) of a light source in comparison to a
    reference illuminant. The calculations are based on a newly
    developed set of reflectance data from real samples uniformly
    distributed in color space (thereby fairly representing all
    colors) and in wavelength space (thereby precluding artificial
    optimization of the color rendition scores by spectral
    engineering). The color fidelity score Rf is an improved version
    of the CIE color rendering index. The color gamut score Rg is an
    improved version of the Gamut Area Index. In combination, they
    provide two complementary assessments to guide the optimization of
    future light sources. This method summarizes the findings of the
    Color Metric Task Group of the Illuminating Engineering Society of
    North America (IES). It is adopted in the upcoming IES TM-30-2015,
    and is proposed for consideration with the International
    Commission on Illumination (CIE).},
  langid       = {english},
}
@article{Davis2010a,
  title        = {Color Quality Scale},
  author       = {Davis, Wendy and Ohno, Yoshiro},
  year         = 2010,
  month        = mar,
  journal      = {Optical Engineering},
  volume       = 49,
  number       = 3,
  pages        = 033602,
  issn         = {0091-3286},
  doi          = {10.1117/1.3360335},
  abstract     = {The color rendering index (CRI) has been shown to
    have deficiencies when applied to white
    light-emitting-diode--based sources. Furthermore, evidence
    suggests that the restricted scope of the CRI unnecessarily
    penalizes some light sources with desirable color qualities. To
    solve the problems of the CRI and include other dimensions of
    color quality, the color quality scale (CQS) has been developed.
    Although the CQS uses many of elements of the CRI, there are a
    number of fundamental differences. Like the CRI, the CQS is a
    test-samples method that compares the appearance of a set of
    reflective samples when illuminated by the test lamp to their
    appearance under a reference illuminant. The CQS uses a larger set
    of reflective samples, all of high chroma, and combines the color
    differences of the samples with a root mean square. Additionally,
    the CQS does not penalize light sources for causing increases in
    the chroma of object colors but does penalize sources with smaller
    rendered color gamut areas. The scale of the CQS is converted to
    span 0-100, and the uniform object color space and chromatic
    adaptation transform used in the calculations are updated.
    Supplementary scales have also been developed for expert users.},
  isbn         = {0091-3286},
}
@misc{DigitalCinemaInitiatives2007b,
  title        = {Digital {{Cinema System Specification}} -
    {{Version}} 1.1},
  author       = {{Digital Cinema Initiatives}},
  year         = 2007,
}
@misc{DjangoSoftwareFoundation2022,
  title        = {Slugify},
  author       = {{Django Software Foundation}},
  year         = 2022,
  urldate      = {2022-06-01},
}
@misc{Dolby2016a,
  title        = {{{WHAT IS ICTCP}}? - {{INTRODUCTION}}},
  author       = {{Dolby}},
  year         = 2016,
}
@misc{Dyer2017,
  title        = {{{RAW}} to {{ACES}}},
  author       = {Dyer, Scott and Forsythe, Alexander and Irons,
    Jonathon and Mansencal, Thomas and Zhu, Miaoqi},
  year         = 2017,
}
@misc{EasyRGBh,
  title        = {{{RGB}} --{$>$} {{CMY}}},
  author       = {{EasyRGB}},
  urldate      = {2014-05-18},
  howpublished = {http://www.easyrgb.com/index.php?X=MATH\&H=11\#text11},
}
@misc{EasyRGBi,
  title        = {{{CMY}} --{$>$} {{RGB}}},
  author       = {{EasyRGB}},
  urldate      = {2014-05-18},
  howpublished = {http://www.easyrgb.com/index.php?X=MATH\&H=12\#text12},
}
@misc{EasyRGBj,
  title        = {{{RGB}} --{$>$} {{HSV}}},
  author       = {{EasyRGB}},
  urldate      = {2014-05-18},
  howpublished = {http://www.easyrgb.com/index.php?X=MATH\&H=20\#text20},
}
@misc{EasyRGBk,
  title        = {{{HSL}} --{$>$} {{RGB}}},
  author       = {{EasyRGB}},
  urldate      = {2014-05-18},
  howpublished = {http://www.easyrgb.com/index.php?X=MATH\&H=19\#text19},
}
@misc{EasyRGBl,
  title        = {{{RGB}} --{$>$} {{HSL}}},
  author       = {{EasyRGB}},
  urldate      = {2014-05-18},
  howpublished = {http://www.easyrgb.com/index.php?X=MATH\&H=18\#text18},
}
@misc{EasyRGBm,
  title        = {{{CMYK}} --{$>$} {{CMY}}},
  author       = {{EasyRGB}},
  urldate      = {2014-05-18},
  howpublished = {http://www.easyrgb.com/index.php?X=MATH\&H=14\#text14},
}
@misc{EasyRGBn,
  title        = {{{HSV}} --{$>$} {{RGB}}},
  author       = {{EasyRGB}},
  urldate      = {2014-05-18},
  howpublished = {http://www.easyrgb.com/index.php?X=MATH\&H=21\#text21},
}
@misc{EasyRGBo,
  title        = {{{CMY}} --{$>$} {{CMYK}}},
  author       = {{EasyRGB}},
  urldate      = {2014-05-18},
  howpublished = {http://www.easyrgb.com/index.php?X=MATH\&H=13\#text13},
}
@inproceedings{Ebner1998,
  title        = {Finding Constant Hue Surfaces in Color Space},
  booktitle    = {Proc. {{SPIE}} 3300, {{Color Imaging}}:
    {{Device-Independent Color}}, {{Color Hardcopy}}, and {{Graphic
    Arts III}}, (2 {{January}} 1998)},
  author       = {Ebner, Fritz and Fairchild, Mark D.},
  editor       = {Beretta, Giordano B. and Eschbach, Reiner},
  year         = 1998,
  month        = jan,
  pages        = {107--117},
  doi          = {10.1117/12.298269},
}
@misc{Erdema,
  title        = {Fast {{Line Segment Intersection}}},
  author       = {Erdem, U. Murat},
  urldate      = {2016-01-15},
  howpublished = {http://www.mathworks.com/matlabcentral/fileexchange/27205-fast-line-segment-intersection},
}
@misc{Erdogana,
  title        = {How to {{Calculate Luminosity}}, {{Dominant
    Wavelength}}, and {{Excitation Purity}}},
  author       = {Erdogan, Turan},
  pages        = 7,
  abstract     = {There are many different systems for analyzing and
    representing the color of an object perceived by a human observer.
    For the purposes of unambiguously specifying the color an observer
    sees when looking through an optical filter at a well-defined
    light source, we have found the CIE Color Specification System to
    be the most accurate (for a simple and clear description, see
    [1]). In this article we briefly describe the method to calculate
    the three main parameters that fully specify color in this system:
    luminosity, dominant wavelength, and excitation purity. These
    terms specifically refer to the definitions in the CIE system
    given below, but they have analogies in many other systems. A set
    of more general terms often used to qualitatively describe color
    are: brightness, hue, and saturation (analogous to luminosity,
    dominant wavelength, and excitation purity, respectively). These
    terms (and others) are often used interchangeably. Here we will
    adhere to the official terms assigned to the CIE system to avoid
    any ambiguity.},
}
@misc{EuropeanBroadcastingUnion1975,
  title        = {{{EBU Tech}} 3213 - {{EBU Standard}} for
    {{Chromaticity Tolerances}} for {{Studio Monitors}}},
  author       = {{European Broadcasting Union}},
  year         = 1975,
  month        = aug,
}
@misc{EuropeanColorInitiative2002a,
  title        = {{{ECI RGB}} V2},
  author       = {{European Color Initiative}},
  year         = 2002,
}
@misc{FFmpegDevelopers2022,
  title        = {{{FFmpeg}}::{{AVColorPrimaries}}},
  author       = {{FFmpeg Developers}},
  year         = 2022,
  month        = aug,
}
@misc{FFmpegDevelopers2022a,
  title        = {{{FFmpeg}}::{{AVColorTransferCharacteristic}}},
  author       = {{FFmpeg Developers}},
  year         = 2022,
  month        = aug,
}
@misc{FFmpegDevelopers2022b,
  title        = {{{FFmpeg}}::{{AVColorSpace}}},
  author       = {{FFmpeg Developers}},
  year         = 2022,
  month        = aug,
}
@article{Fairchild1991a,
  title        = {Formulation and Testing of an
    Incomplete-Chromatic-Adaptation Model},
  author       = {Fairchild, Mark D.},
  year         = 1991,
  month        = aug,
  journal      = {Color Research \& Application},
  volume       = 16,
  number       = 4,
  pages        = {243--250},
  issn         = 03612317,
  doi          = {10.1002/col.5080160406},
  urldate      = {2014-09-26},
  abstract     = {A mathematical model of chromatic adaptation for
    calculating corresponding colors across changes of illumination
    based on the Hunt color appearance model is formulated and tested.
    This model consists of a modified von Kries transform that
    accounts for incomplete levels of adaptation. The model predicts
    that adaptation will be less complete as the saturation of the
    adapting stimulus increases and more complete as the luminance of
    the adapting stimulus increases. An experiment is described in
    which achromatic appearance is measured for various adapting
    conditions. The model is tested with these experimental results as
    well as results from another study and found to be significantly
    better at predicting corresponding colors than other proposed
    models.},
}
@article{Fairchild1996a,
  title        = {Refinement of the {{RLAB}} Color Space},
  author       = {Fairchild, Mark D.},
  year         = 1996,
  month        = oct,
  journal      = {Color Research \& Application},
  volume       = 21,
  number       = 5,
  pages        = {338--346},
  issn         = {0361-2317},
  doi          = {10.1002/(SICI)1520-6378(199610)21:5<338::AID-COL3>3.0.CO;2-Z},
  abstract     = {The prediction of color appearance using the RLAB
    color space has been tested for a variety of viewing conditions
    and stimulus types. These tests have shown that RLAB performs well
    for complex stimuli and not-so-well for simple stimuli. This
    article reviews the various psychophysical results, interprets
    their differences, and describes evolutionary enhancements to the
    RLAB model that simplify it and improve its performance. (C) 1996
    John Wiley \& Sons, Inc.},
  keywords     = {color appearance,color spaces,color-appearance
    models},
}
@misc{Fairchild1998b,
  title        = {Colorimetric {{Characterization}} of {{The Apple
    Studio Display}} (Flat Panel {{LCD}})},
  author       = {Fairchild, M. and Wyble, D.},
  year         = 1998,
  pages        = 22,
  abstract     = {The colorimetric characterization of a flat-panel
    LCD monitor, the Apple Studio Display, using traditional CRT
    characterization techniques was evaluated. The results showed that
    the display performed up to the manufacturer's specifications in
    terms of luminance and contrast. However, the traditional CRT
    gain-offset-gamma (GOG) model for characterization was inadequate
    and a model with one-dimensional lookup tables followed by a 3x3
    matrix was developed. The LUT model performed excellently with
    average CIE94 color differences between measured and predicted
    colors of approximately 1.0.},
}
@incollection{Fairchild2004c,
  title        = {{{CIECAM02}}},
  booktitle    = {Color {{Appearance Models}}},
  author       = {Fairchild, Mark D.},
  year         = 2004,
  edition      = 2,
  pages        = {289--301},
  publisher    = {Wiley},
  isbn         = {978-0-470-01216-1},
}
@inproceedings{Fairchild2010,
  title        = {Hdr-{{CIELAB}} and Hdr-{{IPT}}: {{Simple Models}}
    for {{Describing}} the {{Color}} of {{High-Dynamic-Range}} and
    {{Wide-Color-Gamut Images}}},
  booktitle    = {Proc. of {{Color}} and {{Imaging Conference}}},
  author       = {Fairchild, Mark D. and Wyble, David R.},
  year         = 2010,
  pages        = {322--326},
  issn         = 21669635,
  isbn         = {978-1-62993-215-6},
  keywords     = {Copyright 2010 Society for Imaging Science and Tec},
}
@inproceedings{Fairchild2011,
  title        = {Brightness, Lightness, and Specifying Color in
    High-Dynamic-Range Scenes and Images},
  booktitle    = {Proc. {{SPIE}} 7867, {{Image Quality}} and {{System
    Performance VIII}}},
  author       = {Fairchild, Mark D and Chen, Ping-hsu},
  editor       = {Farnand, Susan P. and Gaykema, Frans},
  year         = 2011,
  month        = jan,
  pages        = {78670O},
  doi          = {10.1117/12.872075},
  keywords     = {color appearance,color differences,color
    spaces,hdr,image quality,lightness},
}
@incollection{Fairchild2013ba,
  title        = {The {{Nayatani}} et al. {{Model}}},
  booktitle    = {Color {{Appearance Models}}},
  author       = {Fairchild, Mark D.},
  year         = 2013,
  edition      = 3,
  pages        = {4810--5085},
  publisher    = {Wiley},
  isbn         = {B00DAYO8E2},
}
@incollection{Fairchild2013s,
  title        = {{{FAIRCHILD}}'{{S}} 1990 {{MODEL}}},
  booktitle    = {Color {{Appearance Models}}},
  author       = {Fairchild, Mark D.},
  year         = 2013,
  edition      = 3,
  pages        = {4418--4495},
  publisher    = {Wiley},
  isbn         = {B00DAYO8E2},
}
@incollection{Fairchild2013t,
  title        = {Chromatic {{Adaptation Models}}},
  booktitle    = {Color {{Appearance Models}}},
  author       = {Fairchild, Mark D.},
  year         = 2013,
  edition      = 3,
  pages        = {4179--4252},
  publisher    = {Wiley},
  isbn         = {B00DAYO8E2},
}
@incollection{Fairchild2013u,
  title        = {The {{Hunt Model}}},
  booktitle    = {Color {{Appearance Models}}},
  author       = {Fairchild, Mark D.},
  year         = 2013,
  edition      = 3,
  pages        = {5094--5556},
  publisher    = {Wiley},
  isbn         = {B00DAYO8E2},
}
@incollection{Fairchild2013v,
  title        = {{{ATD Model}}},
  booktitle    = {Color {{Appearance Models}}},
  author       = {Fairchild, Mark D.},
  year         = 2013,
  edition      = 3,
  pages        = {5852--5991},
  publisher    = {Wiley},
  isbn         = {B00DAYO8E2},
}
@incollection{Fairchild2013w,
  title        = {The {{RLAB Model}}},
  booktitle    = {Color {{Appearance Models}}},
  author       = {Fairchild, Mark D.},
  year         = 2013,
  edition      = 3,
  pages        = {5563--5824},
  publisher    = {Wiley},
  isbn         = {B00DAYO8E2},
}
@incollection{Fairchild2013x,
  title        = {{{LLAB Model}}},
  booktitle    = {Color {{Appearance Models}}},
  author       = {Fairchild, Mark D.},
  year         = 2013,
  edition      = 3,
  pages        = {6025--6178},
  publisher    = {Wiley},
  isbn         = {B00DAYO8E2},
}
@incollection{Fairchild2013y,
  title        = {{{IPT Colourspace}}},
  booktitle    = {Color {{Appearance Models}}},
  author       = {Fairchild, Mark D.},
  year         = 2013,
  edition      = 3,
  pages        = {6197--6223},
  publisher    = {Wiley},
  isbn         = {B00DAYO8E2},
}
@article{Fairchild2020,
  title        = {Von {{Kries}} 2020: {{Evolution}} of Degree of
    Chromatic Adaptation},
  shorttitle   = {Von {{Kries}} 2020},
  author       = {Fairchild, Mark D.},
  year         = 2020,
  month        = nov,
  journal      = {Color and Imaging Conference},
  volume       = 28,
  number       = 1,
  pages        = {252--257},
  issn         = {2166-9635},
  doi          = {10.2352/issn.2169-2629.2020.28.40},
  urldate      = {2023-04-03},
  abstract     = {Recent data has shown that the process of chromatic
    adaptation might be asymmetrical, or irreversible, and that this
    effect might be more than simply a manifestation of the time
    course of adaptation. This paper introduces a simple modification
    of the von Kries chromatic adaptation transform, referred to as
    vK20, that can account for the asymmetry in chromatic adaptation
    through inclusion of previous adapting conditions. Also introduced
    is a new reference chromaticity ({\textasciitilde}15000K) for
    degree of adaptation that seems more physiologically plausible
    than the commonly used equal-energy (EE) illuminant or CIE
    illuminant D65.},
  langid       = {english},
}
@misc{Fairchild2022,
  title        = {Private {{Discussion}} with {{Mansencal}}, {{T}}.},
  author       = {Fairchild, Mark D and Hellwig, Luke},
  year         = 2022,
}
@misc{Fairchildb,
  title        = {Fairchild {{YSh}}},
  author       = {Fairchild, Mark D.},
}
@article{Fairman1985b,
  title        = {The Calculation of Weight Factors for Tristimulus
    Integration},
  author       = {Fairman, Hugh S.},
  year         = 1985,
  journal      = {Color Research \& Application},
  volume       = 10,
  number       = 4,
  pages        = {199--203},
  issn         = 03612317,
  doi          = {10.1002/col.5080100407},
}
@article{Fairman1997,
  title        = {How the {{CIE}} 1931 Color-Matching Functions Were
    Derived from {{Wright-Guild}} Data},
  author       = {Fairman, Hugh S. and Brill, Michael H. and
    Hemmendinger, Henry},
  year         = 1997,
  month        = feb,
  journal      = {Color Research \& Application},
  volume       = 22,
  number       = 1,
  pages        = {11--23},
  issn         = {0361-2317},
  doi          = {10.1002/(SICI)1520-6378(199702)22:1<11::AID-COL4>3.0.CO;2-7},
  urldate      = {2014-09-27},
  abstract     = {Page 1. How the CIE 1931 Color-Matching Functions
    Were Derived from Wright-Guild Data Hugh S. Fairman, 1 Michael H.
    Brill, 2 Henry Hemmendinger 3},
  keywords     = {alychne,chromaticity diagram,cie,cie 1931
    system,color-matching,colorimetry,cus,guild data,mation,primary
    colors,spectrum lo-,transfor-,wright},
}
@misc{FiLMiCInc2017,
  title        = {{{FiLMiC Pro}} - {{User Manual}} v6 - {{Revision}} 1},
  author       = {{FiLMiC Inc}},
  year         = 2017,
  pages        = {1--46},
}
@article{Fichet2021,
  title        = {An {{OpenEXR Layout}} for {{Spectral Images}}},
  author       = {Fichet, A and Pacanowski, R and Wilkie, A},
  year         = 2021,
  volume       = 10,
  number       = 3,
  urldate      = {2024-04-26},
  abstract     = {We propose a standardized layout to organize
    spectral data stored in OpenEXR images. We motivate why we chose
    the OpenEXR format as the basis for our work, and we explain our
    choices with regard to data selection and organization: our goal
    is to define a standard for the exchange of measured or simulated
    spectral and bi-spectral data. We also provide sample code to
    store spectral images in OpenEXR format.},
  langid       = {english},
}
@article{Finlayson2015,
  title        = {Color {{Correction Using Root-Polynomial
    Regression}}},
  author       = {Finlayson, Graham D. and MacKiewicz, Michal and
    Hurlbert, Anya},
  year         = 2015,
  month        = may,
  journal      = {IEEE Transactions on Image Processing},
  volume       = 24,
  number       = 5,
  pages        = {1460--1470},
  issn         = 10577149,
  doi          = {10.1109/TIP.2015.2405336},
  abstract     = {Cameras record three color responses (RGB) which are
    device dependent. Camera coordinates are mapped to a standard
    color space, such as XYZ---useful for color measurement---by
    amapping function, e.g., the simple 3{\texttimes}3 linear
    transform (usually derived through regression). This mapping,
    which we will refer to as linear color correction (LCC), has been
    demonstrated to work well in the number of studies. However, it
    can map RGBs to XYZs with high error. The advantage of the LCC is
    that it is independent of camera exposure. An alternative and
    potentially more powerful method for color correction is
    polynomial color correction (PCC). Here, the R, G,and B values at
    a pixel are extended by the polynomial terms. For a given
    calibration training set PCC can significantly reduce the
    colorimetric error. However, the PCC fit depends on exposure,
    i.e., as exposure changes the vector of polynomial components is
    altered in a nonlinear way which results in hue and saturation
    shifts. This paper proposes a new polynomial-type regression
    loosely related to the idea of fractional polynomials which we
    call root-PCC (RPCC). Our idea is to take each term in a
    polynomial expansion and take its kth root of each k-degree term.
    It is easy to show terms defined in this way scale with exposure.
    RPCC is a simple (low complexity) extension of LCC. The
    experiments presented in this paper demonstrate that RPCC enhances
    color correction performance on real and synthetic data.},
  isbn         = {1057-7149 VO - 24},
  keywords     = {camera characterization,Color correction,polynomial
    regression},
}
@misc{Forsythe2018,
  title        = {Private {{Discussion}} with {{Mansencal}}, {{T}}},
  author       = {Forsythe, Alex},
  year         = 2018,
}
@misc{Frohlich2017,
  title        = {Encoding High Dynamic Range and Wide Color Gamut
    Imagery},
  author       = {Fr{\"o}hlich, Jan},
  year         = 2017,
  publisher    = {Universit{\"a}t Stuttgart},
  urldate      = {2021-08-07},
  abstract     = {In dieser Dissertation wird ein szenischer
    Bewegtbilddatensatz mit erweitertem Dynamikumfang (High Dynamic
    Range, HDR) und gro{\ss}em Farbumfang (Wide Color Gamut, WCG)
    eingef{\"u}hrt und es werden Modelle zur Kodierung von HDR und WCG
    Bildern vorgestellt. Die objektive und visuelle Evaluation neuer
    HDR und WCG Bildverarbeitungsalgorithmen, Kompressionsverfahren
    und Bildwiedergabeger{\"a}te erfordert einen Referenzdatensatz
    hoher Qualit{\"a}t. Daher wird ein neuer HDR- und
    WCG-Video-Datensatz mit einem Dynamikumfang von bis zu 18
    fotografischen Blenden eingef{\"u}hrt. Er enth{\"a}lt inszenierte
    und dokumentarische Szenen. Die einzelnen Szenen sind konzipiert
    um eine Herausforderung f{\"u}r Tone Mapping Operatoren, Gamut
    Mapping Algorithmen, Kompressionscodecs und HDR und WCG
    Bildanzeigeger{\"a}te darzustellen. Die Szenen sind mit
    professionellem Licht, Maske und Filmausstattung aufgenommen. Um
    einen cinematischen Bildeindruck zu erhalten, werden digitale
    Filmkameras mit `Super-35 mm' Sensorgr{\"o}{\ss}e verwendet. Der
    zus{\"a}tzliche Informationsgehalt von HDR- und WCG-Videosignalen
    erfordert im Vergleich zu Signalen mit herk{\"o}mmlichem
    Dynamikumfang eine neue und effizientere Signalkodierung. Ein
    Farbraum f{\"u}r HDR und WCG Video sollte nicht nur effizient
    quantisieren, sondern wegen der unterschiedlichen
    Monitoreigenschaften auf der Empf{\"a}ngerseite auch f{\"u}r die
    Dynamik- und Farbumfangsanpassung geeignet sein. Bisher wurden
    Methoden f{\"u}r die Quantisierung von HDR Luminanzsignalen
    vorgeschlagen. Es fehlt jedoch noch ein entsprechendes Modell
    f{\"u}r Farbdifferenzsignale. Es werden daher zwei neue
    Farbr{\"a}ume eingef{\"u}hrt, die sich sowohl f{\"u}r die
    effiziente Kodierung von HDR und WCG Signalen als auch f{\"u}r die
    Dynamik- und Farbumfangsanpassung eignen. Diese Farbr{\"a}ume
    werden mit existierenden HDR und WCG Farbsignalkodierungen des
    aktuellen Stands der Technik verglichen. Die vorgestellten
    Kodierungsschemata erlauben es, HDR- und WCG-Video mittels drei
    Farbkan{\"a}len mit 12 Bits tonaler Aufl{\"o}sung zu quantisieren,
    ohne dass Quantisierungsartefakte sichtbar werden. W{\"a}hrend die
    Speicherung und {\"U}bertragung von HDR und WCG Video mit 12-Bit
    Farbtiefe pro Kanal angestrebt wird, unterst{\"u}tzen aktuell
    verbreitete Dateiformate, Videoschnittstellen und
    Kompressionscodecs oft nur niedrigere Bittiefen. Um diese
    existierende Infrastruktur f{\"u}r die HDR Video{\"u}bertragung
    und -speicherung nutzen zu k{\"o}nnen, wird ein neues
    bildinhaltsabh{\"a}ngiges Quantisierungsschema eingef{\"u}hrt.
    Diese Quantisierungsmethode nutzt Bildeigenschaften wie Rauschen
    und Textur um die ben{\"o}tigte tonale Aufl{\"o}sung f{\"u}r die
    visuell verlustlose Quantisierung zu sch{\"a}tzen. Die
    vorgestellte Methode erlaubt es HDR Video mit einer Bittiefe von
    10 Bits ohne sichtbare Unterschiede zum Original zu quantisieren
    und kommt mit weniger Rechenkraft im Vergleich zu aktuellen HDR
    Bilddifferenzmetriken aus.},
  collaborator = {Universit{\"a}t Stuttgart and Universit{\"a}t
    Stuttgart},
  langid       = {english},
  keywords     = 004,
}
@misc{Fujifilm2022,
  title        = {F-{{Log Data Sheet Ver}}.1.1},
  author       = {{Fujifilm}},
  year         = 2022,
  pages        = {1--4},
}
@misc{Fujifilm2022a,
  title        = {F-{{Log2 Data Sheet Ver}}.1.0},
  author       = {{Fujifilm}},
  year         = 2022,
  pages        = {1--4},
}
@misc{Gaggioni,
  title        = {S-{{Log}}: {{A}} New {{LUT}} for Digital Production
    Mastering and Interchange Applications},
  author       = {Gaggioni, Hugo and Dhanendra, Patel and Yamashita,
    Jin and Kawada, N. and Endo, K. and Clark, Curtis},
  volume       = 709,
  pages        = {1--13},
}
@article{Garcia2007,
  title        = {Measurement of the Relationship between Perceived
    and Computed Color Differences},
  author       = {Garc{\'i}a, Pedro A. and Huertas, Rafael and
    Melgosa, Manuel and Cui, Guihua},
  year         = 2007,
  month        = jul,
  journal      = {Journal of the Optical Society of America A},
  volume       = 24,
  number       = 7,
  pages        = 1823,
  issn         = {1084-7529, 1520-8532},
  doi          = {10.1364/JOSAA.24.001823},
  urldate      = {2021-02-03},
  langid       = {english},
}
@article{Glasser1958a,
  title        = {Cube-{{Root Color Coordinate System}}},
  author       = {Glasser, L. G. and McKinney, A. H. and Reilly, C. D.
    and Schnelle, P. D.},
  year         = 1958,
  month        = oct,
  journal      = {Journal of the Optical Society of America},
  volume       = 48,
  number       = 10,
  pages        = 736,
  publisher    = {OSA},
  issn         = {0030-3941},
  doi          = {10.1364/JOSA.48.000736},
  abstract     = {A visually uniform color coordinate system, based
    upon simple mathematical formulas, is described. This system
    resembles the Adams chromatic-value system but replaces the
    quintic-parabola function with a cube-root function. For colors
    having reflectances greater than 0.5\% the color spacing obtained
    agrees with Munsell spacing as closely as the modified Adams
    system. At lower reflectances an expanded color spacing over that
    of the Munsell system is provided. The cube-root equations can be
    solved directly for color coordinate differences in terms of
    simple functions of the difference in colorimeter readings or
    tristimulus values. The computation of color coordinates in this
    system is simpler and requires less computational precision than
    other visually uniform color coordinate systems. A simple slide
    rule for computing color differences in cube-root color
    coordinates is described. A modification of the cube-root color
    coordinate system which provides nearly perfect representation of
    the spacing of Munsell colors is described, and the
    appropriateness of the assumptions required to obtain this
    behavior is discussed.},
}
@misc{GoPro2016a,
  title        = {Gopro.Py},
  author       = {{GoPro} and Duiker, Haarm-Pieter and Mansencal,
    Thomas},
  year         = 2016,
  urldate      = {2017-04-12},
  howpublished = {https://github.com/hpd/OpenColorIO-Configs/blob/master/aces\_1.0.3/python/aces\_ocio/colorspaces/gopro.py},
}
@inproceedings{Guth1995a,
  title        = {Further Applications of the {{ATD}} Model for Color
    Vision},
  booktitle    = {Proc. {{SPIE}} 2414, {{Device-Independent Color
    Imaging II}}},
  author       = {Guth, S. Lee},
  editor       = {Walowit, Eric},
  year         = 1995,
  month        = apr,
  volume       = 2414,
  pages        = {12--26},
  doi          = {10.1117/12.206546},
  urldate      = {2014-09-26},
  abstract     = {Previous and recent revisions of the ATD model for
    color perception{\textbackslash}nand visual adaption are
    incorporated into the version that is
    fully{\textbackslash}ndescribed in this paper.},
  keywords     = {chromatic adaptation,color appearances,color
    discriminations,color models},
}
@misc{Halir1998,
  title        = {Numerically {{Stable Direct Least Squares Fitting Of
    Ellipses}}},
  author       = {Halir, Radim and Flusser, Jan},
  year         = 1998,
  pages        = {1--8},
  doi          = {10.1.1.1.7559},
  keywords     = {eigenvectors,ellipses,fitting,least squares},
}
@inproceedings{Hanbury2003,
  title        = {A {{3D-Polar Coordinate Colour Representation Well
    Adapted}} to {{Image Analysis}}},
  booktitle    = {Image {{Analysis}}},
  author       = {Hanbury, Allan},
  editor       = {Bigun, Josef and Gustavsson, Tomas},
  year         = 2003,
  pages        = {804--811},
  publisher    = {Springer Berlin Heidelberg},
  address      = {Berlin, Heidelberg},
  abstract     = {Representations of the RGB space in terms of
    3D-polar coordinates (hue, saturation and brightness) are often
    used in image analysis. The literature describes a large number of
    similar coordinate systems (HLS, HSV, etc.). We show that the
    reason for the existence of so many systems is a poor definition
    of the saturation coordinate which makes it dependent on the
    brightness function used, and hence poorly suited to image
    analysis applications. An improved saturation measurement which
    (1) always has small values for achromatic colours and (2) is
    independent of the brightness function is derived.},
  isbn         = {978-3-540-45103-7},
}
@article{Hellwig2020,
  title        = {Using {{Gaussian Spectra}} to {{Derive}} a
    {{Hue-linear Color Space}}},
  author       = {Hellwig, Luke and Fairchild, Mark D.},
  year         = 2020,
  journal      = {Journal of Perceptual Imaging},
  issn         = {2575-8144},
  doi          = {10.2352/J.Percept.Imaging.2020.3.2.020401},
  urldate      = {2020-10-17},
  abstract     = {A new color space, I G P G T G, was developed. I G P
    G T G uses the same structure as IPT, an established hue-uniform
    color space utilized in gamut mapping applications. While IPT was
    fit to visual data on the perceived hue, I G P G T G was optimized
    based on evidence linking the peak wavelength of Gaussian-shaped
    light spectra to their perceived hues. The performance of I G P G
    T G on perceived hue data was compared to the performance of other
    established color spaces. Additionally, an experiment was run to
    directly compare the hue linearity of I G P G T G with those of
    other color spaces by using Case V of Thurstone's law of
    comparative judgment to generate hue-linearity scales. I G P G T G
    performed well in this experiment but poorly on extant visual
    data. The mixed results indicate that it is possible to derive a
    moderately hue-linear color space without visual data.},
  langid       = {english},
}
@article{Hellwig2022,
  title        = {Brightness, Lightness, Colorfulness, and Chroma in
    {{{\textsc{CIECAM02}}}} and {{{\textsc{CAM16}}}}},
  shorttitle   = {Brightness, Lightness, Colorfulness, and Chroma In},
  author       = {Hellwig, Luke and Fairchild, Mark D.},
  year         = 2022,
  month        = mar,
  journal      = {Color Research \& Application},
  pages        = {col.22792},
  issn         = {0361-2317, 1520-6378},
  doi          = {10.1002/col.22792},
  urldate      = {2022-04-23},
  abstract     = {In the CIECAM02 and CAM16 color appearance models,
    brightness is computed as a nonlinear function of lightness. This
    paper traces the history of that nonlinearity to its roots in the
    Hunt color appearance model. A new, more robust, linear
    relationship between lightness and brightness is proposed. This
    new formula also prompts the reevaluation of the CAM16 equations
    for chroma, colorfulness, and saturation. The new formulas for
    these perceptual attributes are tested on experimental data from
    the Munsell color order system and the LUTCHI color appearance
    dataset and are compared to the performance of the original CAM16
    equations.},
  langid       = {english},
}
@article{Hellwig2022a,
  title        = {Extending {{CIECAM02}} and {{CAM16}} for the
    {{Helmholtz}}--{{Kohlrausch}} Effect},
  shorttitle   = {Extending},
  author       = {Hellwig, Luke and Stolitzka, Dale and Fairchild,
    Mark D.},
  year         = 2022,
  month        = jun,
  journal      = {Color Research \& Application},
  pages        = {col.22793},
  issn         = {0361-2317, 1520-6378},
  doi          = {10.1002/col.22793},
  urldate      = {2022-07-31},
  langid       = {english},
}
@article{Hernandez-Andres1999a,
  title        = {Calculating Correlated Color Temperatures across the
    Entire Gamut of Daylight and Skylight Chromaticities},
  author       = {{Hern{\'a}ndez-Andr{\'e}s}, Javier and Lee, Raymond
    L. and Romero, Javier},
  year         = 1999,
  month        = sep,
  journal      = {Applied Optics},
  volume       = 38,
  number       = 27,
  pages        = 5703,
  publisher    = {Departamento de Optica, Facultad de Ciencias,
    Universidad de Granada, Granada 18071, Spain.},
  issn         = {0003-6935},
  doi          = {10.1364/AO.38.005703},
  abstract     = {Natural outdoor illumination daily undergoes large
    changes in its correlated color temperature (CCT), yet existing
    equations for calculating CCT from chromaticity coordinates span
    only part of this range. To improve both the gamut and accuracy of
    these CCT calculations, we use chromaticities calculated from our
    measurements of nearly 7000 daylight and skylight spectra to test
    an equation that accurately maps CIE 1931 chromaticities x and y
    into CCT. We extend the work of McCamy [Color Res. Appl. 12,
    285-287 (1992)] by using a chromaticity epicenter for CCT and the
    inverse slope of the line that connects it to x and y. With two
    epicenters for different CCT ranges, our simple equation is
    accurate across wide chromaticity and CCT ranges (3000-10(6) K)
    spanned by daylight and skylight.},
}
@misc{Hewlett-PackardDevelopmentCompany2009a,
  title        = {Understanding the {{HP DreamColor LP2480zx DCI-P3
    Emulation Color Space}}},
  author       = {{Hewlett-Packard Development Company}},
  year         = 2009,
  pages        = {1--3},
}
@misc{Holmesa,
  title        = {Ekta {{Space PS}} 5},
  author       = {Holmes, Joseph},
}
@misc{Houston2015a,
  title        = {Private {{Discussion}} with {{Mansencal}}, {{T}}.},
  author       = {Houston, Jim},
  year         = 2015,
}
@article{Huang2015,
  title        = {Power Functions Improving the Performance of
    Color-Difference Formulas},
  author       = {Huang, Min and Cui, Guihua and Melgosa, Manuel and
    {S{\'a}nchez-Mara{\~n}{\'o}n}, Manuel and Li, Changjun and Luo, M.
    Ronnier and Liu, Haoxue},
  year         = 2015,
  journal      = {Optical Society of America},
  volume       = 23,
  number       = 1,
  pages        = {597--610},
  issn         = {1094-4087},
  doi          = {10.1364/OE.23.000597},
}
@article{Hung1995,
  title        = {Determination of Constant {{Hue Loci}} for a {{CRT}}
    Gamut and Their Predictions Using Color Appearance Spaces},
  author       = {Hung, Po-Chieh and Berns, Roy S.},
  year         = 1995,
  month        = oct,
  journal      = {Color Research \& Application},
  volume       = 20,
  number       = 5,
  pages        = {285--295},
  issn         = 03612317,
  doi          = {10.1002/col.5080200506},
  keywords     = {color appearance spaces,experiments to evaluate
    color space hue linearity,perceived hue},
}
@book{Hunt2004b,
  title        = {The {{Reproduction}} of {{Colour}}},
  author       = {Hunt, R.W.G.},
  year         = 2004,
  month        = sep,
  edition      = 6,
  publisher    = {John Wiley \& Sons, Ltd},
  address      = {Chichester, UK},
  doi          = {10.1002/0470024275},
  isbn         = {978-0-470-02427-0},
  keywords     = {calanus finmarchicus,egg production,gonad
    development,norwegian sea,phytoplankton},
}
@misc{HunterLab2008b,
  title        = {Hunter {{L}},a,b {{Color Scale}}},
  author       = {{HunterLab}},
  year         = 2008,
}
@misc{HunterLab2008c,
  title        = {Illuminant {{Factors}} in {{Universal Software}} and
    {{EasyMatch Coatings}}},
  author       = {{HunterLab}},
  year         = 2008,
  keywords     = {ASTM illuminant},
}
@misc{HunterLab2012a,
  title        = {Hunter {{Rd}},a,b {{Color Scale}} - {{History}} and
    {{Application}}},
  author       = {{HunterLab}},
  year         = 2012,
  keywords     = {a rd,b rd,hunter rd,opponent color scale,rd a b,rdab},
}
@misc{HutchColord,
  title        = {{{BestRGB}} (4 {{K}})},
  author       = {{HutchColor}},
}
@misc{HutchColore,
  title        = {{{XtremeRGB}} (4 {{K}})},
  author       = {{HutchColor}},
}
@misc{HutchColorf,
  title        = {{{MaxRGB}} (4 {{K}})},
  author       = {{HutchColor}},
}
@misc{HutchColorg,
  title        = {{{DonRGB4}} (4 {{K}})},
  author       = {{HutchColor}},
}
@book{IESComputerCommittee2014a,
  title        = {{{IES Standard Format}} for the {{Electronic
    Transfer}} of {{Spectral Data Electronic Transfer}} of {{Spectral
    Data}}},
  author       = {{IES Computer Committee} and {TM-27-14 Working
    Group}},
  year         = 2014,
  publisher    = {Illuminating Engineering Society},
  isbn         = {978-0-87995-295-2},
}
@misc{ImageEngineering2017,
  title        = {{{TE226 V2}} Data Sheet},
  author       = {{Image Engineering}},
  year         = 2017,
}
@misc{InternationalColorConsortium2010,
  title        = {Specification {{ICC}}.1:2010 ({{Profile}} Version
    4.3.0.0)},
  author       = {{International Color Consortium}},
  year         = 2010,
  pages        = {1--130},
}
@misc{InternationalElectrotechnicalCommission1999a,
  title        = {{{IEC}} 61966-2-1:1999 - {{Multimedia}} Systems and
    Equipment - {{Colour}} Measurement and Management - {{Part}} 2-1:
    {{Colour}} Management - {{Default RGB}} Colour Space - {{sRGB}}},
  author       = {{International Electrotechnical Commission}},
  year         = 1999,
  pages        = 51,
}
@misc{InternationalOrganizationforStandardization2002,
  title        = {{{INTERNATIONAL STANDARD ISO}} 7589-2002 -
    {{Photography}} - {{Illuminants}} for Sensitometry -
    {{Specifications}} for Daylight, Incandescent Tungsten and Printer},
  author       = {{International Organization for Standardization}},
  year         = 2002,
}
@misc{InternationalOrganizationforStandardization2012,
  title        = {{{INTERNATIONAL STANDARD ISO}} 17321-1 - {{Graphic}}
    Technology and Photography - {{Colour}} Characterisation of
    Digital Still Cameras ({{DSCs}}) - {{Part}} 1: {{Stimuli}},
    Metrology and Test Procedures},
  author       = {{International Organization for Standardization}},
  year         = 2012,
}
@misc{InternationalOrganizationforStandardization2013,
  title        = {{{INTERNATIONAL STANDARD ISO}}/{{IEC}} 23001-8 -
    {{Information}} Technology - {{MPEG}} Systems Technologies -
    {{Part}} 8: {{Coding-independent}} Code Points},
  author       = {{International Organization for Standardization}},
  year         = 2013,
}
@misc{InternationalOrganizationforStandardization2020,
  title        = {{{INTERNATIONAL STANDARD ISO}}/{{IEC}} 14496-10 -
    {{Information}} Technology - {{Coding}} of Audio-Visual Objects -
    {{Part}} 10: {{Advanced}} Video Coding},
  author       = {{International Organization for Standardization}},
  year         = 2020,
}
@misc{InternationalOrganizationforStandardization2021,
  title        = {{{INTERNATIONAL STANDARD ISO}}/{{IEC}} 23091-2 -
    {{Information}} Technology - {{Coding-}} Independent Code Points -
    {{Part}} 2: {{Video}}},
  author       = {{International Organization for Standardization}},
  year         = 2021,
}
@misc{InternationalTelecommunicationUnion1998,
  title        = {Recommendation {{ITU-R BT}}.1361 - {{Worldwide}}
    Unified Colorimetry and Related Characteristics of Future
    Television and Imaging Systems},
  author       = {{International Telecommunication Union}},
  year         = 1998,
  pages        = {1--32},
}
@misc{InternationalTelecommunicationUnion1998a,
  title        = {Recommendation {{ITU-R BT}}.470-6 - {{CONVENTIONAL
    TELEVISION SYSTEMS}}},
  author       = {{International Telecommunication Union}},
  year         = 1998,
  pages        = {1--36},
}
@misc{InternationalTelecommunicationUnion2011e,
  title        = {Recommendation {{ITU-T T}}.871 - {{Information}}
    Technology - {{Digital}} Compression and Coding of Continuous-Tone
    Still Images: {{JPEG File Interchange Format}} ({{JFIF}})},
  author       = {{International Telecommunication Union}},
  year         = 2011,
}
@misc{InternationalTelecommunicationUnion2011f,
  title        = {Recommendation {{ITU-R BT}}.601-7 - {{Studio}}
    Encoding Parameters of Digital Television for Standard 4:3 and
    Wide-Screen 16:9 Aspect Ratios},
  author       = {{International Telecommunication Union}},
  year         = 2011,
}
@misc{InternationalTelecommunicationUnion2011h,
  title        = {Recommendation {{ITU-R BT}}.1886 - {{Reference}}
    Electro-Optical Transfer Function for Flat Panel Displays Used in
    {{HDTV}} Studio Production {{BT Series Broadcasting}} Service},
  author       = {{International Telecommunication Union}},
  year         = 2011,
}
@misc{InternationalTelecommunicationUnion2015,
  title        = {Report {{ITU-R BT}}.2246-4 - {{The}} Present State
    of Ultra-High Definition Television {{BT Series Broadcasting}}
    Service},
  author       = {{International Telecommunication Union}},
  year         = 2015,
  volume       = 5,
  pages        = {1--92},
}
@misc{InternationalTelecommunicationUnion2015h,
  title        = {Recommendation {{ITU-R BT}}.2020 - {{Parameter}}
    Values for Ultra-High Definition Television Systems for Production
    and International Programme Exchange},
  author       = {{International Telecommunication Union}},
  year         = 2015,
  pages        = {1--8},
  abstract     = {The role of the Radiocommunication Sector is to
    ensure the rational, equitable, efficient and economical use of
    the radio-frequency spectrum by all radiocommunication services,
    including satellite services, and carry out studies without limit
    of frequency range on the basis of which Recommendations are
    adopted. The regulatory and policy functions of the
    Radiocommunication Sector are performed by World and Regional
    Radiocommunication Conferences and Radiocommunication Assemblies
    supported by Study Groups},
}
@misc{InternationalTelecommunicationUnion2015i,
  title        = {Recommendation {{ITU-R BT}}.709-6 - {{Parameter}}
    Values for the {{HDTV}} Standards for Production and International
    Programme Exchange {{BT Series Broadcasting}} Service},
  author       = {{International Telecommunication Union}},
  year         = 2015,
  pages        = {1--32},
}
@misc{InternationalTelecommunicationUnion2017,
  title        = {Recommendation {{ITU-R BT}}.2100-1 - {{Image}}
    Parameter Values for High Dynamic Range Television for Use in
    Production and International Programme Exchange},
  author       = {{International Telecommunication Union}},
  year         = 2017,
}
@misc{InternationalTelecommunicationUnion2018,
  title        = {Recommendation {{ITU-R BT}}.2100-2 - {{Image}}
    Parameter Values for High Dynamic Range Television for Use in
    Production and International Programme Exchange},
  author       = {{International Telecommunication Union}},
  year         = 2018,
}
@misc{InternationalTelecommunicationUnion2019,
  title        = {Recommendation {{ITU-R BT}}.2124-0 - {{Objective}}
    Metric for the Assessment of the Potential Visibility of Colour
    Differences in Television},
  author       = {{International Telecommunication Union}},
  year         = 2019,
  pages        = {1--36},
}
@misc{InternationalTelecommunicationUnion2021,
  title        = {Recommendation {{ITU-T H}}.273 -
    {{Coding-independent}} Code Points for Video Signal Type
    Identification},
  author       = {{International Telecommunication Union}},
  year         = 2021,
}
@article{Jakob2019,
  ids          = {Jakob},
  title        = {A {{Low}}-{{Dimensional Function Space}} for
    {{Efficient Spectral Upsampling}}},
  author       = {Jakob, Wenzel and Hanika, Johannes},
  year         = 2019,
  month        = may,
  journal      = {Computer Graphics Forum},
  volume       = 38,
  number       = 2,
  pages        = {147--155},
  issn         = {0167-7055, 1467-8659},
  doi          = {10.1111/cgf.13626},
  urldate      = {2020-06-21},
  langid       = {english},
}
@inproceedings{Jiang2013,
  title        = {What Is the Space of Spectral Sensitivity Functions
    for Digital Color Cameras?},
  booktitle    = {2013 {{IEEE Workshop}} on {{Applications}} of
    {{Computer Vision}} ({{WACV}})},
  author       = {Jiang, Jun and Liu, Dengyu and Gu, Jinwei and
    Susstrunk, Sabine},
  year         = 2013,
  month        = jan,
  pages        = {168--179},
  publisher    = {IEEE},
  issn         = 21583978,
  doi          = {10.1109/WACV.2013.6475015},
  abstract     = {Camera spectral sensitivity functions relate scene
    radiance with captured RGB triplets. They are important for many
    computer vision tasks that use color information, such as
    multispectral imaging, color rendering, and color constancy. In
    this paper, we aim to explore the space of spectral sensitivity
    functions for digital color cameras. After collecting a database
    of 28 cameras covering a variety of types, we find this space
    convex and two-dimensional. Based on this statistical model, we
    propose two methods to recover camera spectral sensitivities using
    regular reflective color targets (e.g., color checker) from a
    single image with and without knowing the illumination. We show
    the proposed model is more accurate and robust for estimating
    camera spectral sensitivities than other basis functions. We also
    show two applications for the recovery of camera spectral
    sensitivities - simulation of color rendering for cameras and
    computational color constancy.},
  isbn         = {978-1-4673-5054-9},
}
@article{Kang2002a,
  title        = {Design of Advanced Color: {{Temperature}} Control
    System for {{HDTV}} Applications},
  author       = {Kang, Bongsoon and Moon, Ohak and Hong, Changhee and
    Lee, Honam and Cho, Bonghwan and Kim, Youngsun},
  year         = 2002,
  journal      = {Journal of the Korean Physical Society},
  volume       = 41,
  number       = 6,
  pages        = {865--871},
  urldate      = {2014-09-25},
  keywords     = {chromaticity,cie-xyz,color temperature,hdtv},
}
@misc{Kienzle2011a,
  title        = {Refl1d.Numpyerrors - {{Refl1D}} v0.6.19
    Documentation},
  author       = {Kienzle, Paul and Patel, Nikunj and Krycka, James},
  year         = 2011,
  urldate      = {2015-01-30},
  howpublished = {http://www.reflectometry.org/danse/docs/refl1d/\_modules/refl1d/numpyerrors.html},
}
@article{Kim2009,
  title        = {Modeling {{Human Color Perception}} under {{Extended
    Luminance Levels}}},
  author       = {Kim, Mh and Weyrich, T and Kautz, J},
  year         = 2009,
  journal      = {ACM Transactions on Graphics},
  volume       = 28,
  number       = 3,
  pages        = {27:1--27:9},
  issn         = 07300301,
  doi          = {10.1145/1531326.1531333},
  abstract     = {Display technology is advancing quickly with peak
    luminance increasing significantly, enabling high-dynamic-range
    displays. However, perceptual color appearance under extended
    luminance levels has not been studied, mainly due to the
    unavailability of psychophysical data. Therefore, we conduct a
    psychophysical study in order to acquire appearance data for many
    different luminance levels (up to 16,860 cd/m(2)) covering most of
    the dynamic range of the human visual system. These experimental
    data allow us to quantify human color perception under extended
    luminance levels, yielding a generalized color appearance model.
    Our proposed appearance model is efficient, accurate and
    invertible. It can be used to adapt the tone and color of images
    to different dynamic ranges for cross-media reproduction while
    maintaining appearance that is close to human perception.},
  isbn         = {978-1-60558-726-4},
  keywords     = {color appearance,color reproduction,psychophysics},
}
@misc{Kirk2006,
  title        = {Truelight {{Software Library}} 2.0},
  author       = {Kirk, Richard},
  year         = 2006,
  urldate      = {2017-07-08},
}
@article{Kirk2019,
  title        = {Chromaticity Coordinates for Graphic Arts Based on
    {{CIE}} 2006 {{LMS}} with Even Spacing of {{Munsell}} Colours},
  author       = {Kirk, Richard A.},
  year         = 2019,
  month        = oct,
  journal      = {Color and Imaging Conference},
  volume       = 27,
  number       = 1,
  pages        = {215--219},
  issn         = {2166-9635},
  doi          = {10.2352/issn.2169-2629.2019.27.38},
  urldate      = {2023-05-14},
}
@article{Konovalenko2021,
  title        = {{{ProLab}}: Perceptually Uniform Projective Colour
    Coordinate System},
  shorttitle   = {{{ProLab}}},
  author       = {Konovalenko, Ivan A. and Smagina, Anna A. and
    Nikolaev, Dmitry P. and Nikolaev, Petr P.},
  year         = 2021,
  month        = jan,
  journal      = {arXiv:2012.07653 [cs]},
  eprint       = {2012.07653},
  primaryclass = {cs},
  urldate      = {2021-08-28},
  abstract     = {In this work, we propose proLab: a new colour
    coordinate system derived as a 3D projective transformation of CIE
    XYZ. We show that proLab is far ahead of the widely used CIELAB
    coordinate system (though inferior to the modern CAM16-UCS)
    according to perceptual uniformity evaluated by the STRESS metric
    in reference to the CIEDE2000 colour difference formula. At the
    same time, angular errors of chromaticity estimation that are
    standard for linear colour spaces can also be used in proLab since
    projective transformations preserve the linearity of manifolds.
    Unlike in linear spaces, angular errors for different hues are
    normalized according to human colour discrimination thresholds
    within proLab. We also demonstrate that shot noise in proLab is
    more homoscedastic than in CAM16-UCS or other standard colour
    spaces. This makes proLab a convenient coordinate system in which
    to perform linear colour analysis.},
  archiveprefix = {arxiv},
  langid       = {english},
  keywords     = {Computer Science - Computer Vision and Pattern
    Recognition,No DOI found},
}
@misc{Konovalenko2021a,
  title        = {{{proLab}}\_param.m},
  author       = {Konovalenko, Ivan A.},
  year         = 2021,
}
@article{Krystek1985b,
  title        = {An Algorithm to Calculate Correlated Colour
    Temperature},
  author       = {Krystek, M},
  year         = 1985,
  journal      = {Color Research \& Application},
  volume       = 10,
  number       = 1,
  pages        = {38--40},
  publisher    = {Wiley Subscription Services, Inc., A Wiley Company},
  issn         = 03612317,
  doi          = {10.1002/col.5080100109},
}
@misc{Laurent2012a,
  title        = {Reproducibility of Python Pseudo-Random Numbers
    across Systems and Versions?},
  author       = {{Laurent}},
  year         = 2012,
  urldate      = {2015-01-20},
  howpublished = {http://stackoverflow.com/questions/8786084/reproducibility-of-python-pseudo-random-numbers-across-systems-and-versions},
}
@misc{LeicaCameraAG2022,
  title        = {Leica {{L-Log Reference Manual}}},
  author       = {{Leica Camera AG}},
  year         = 2022,
}
@article{Li2002a,
  title        = {{{CMC}} 2000 Chromatic Adaptation Transform:
    {{CMCCAT2000}}},
  author       = {Li, Changjun and Luo, Ming Ronnier and Rigg, Bryan
    and Hunt, Robert W. G.},
  year         = 2002,
  month        = feb,
  journal      = {Color Research \& Application},
  volume       = 27,
  number       = 1,
  pages        = {49--58},
  issn         = {0361-2317},
  doi          = {10.1002/col.10005},
  urldate      = {2014-09-26},
  abstract     = {CMCCAT97 is a chromatic adaptation transform
    included in CIECAM97s, the CIE 1997 colour appearance model, for
    describing colour appearance under different viewing conditions
    and is recommended by, the Colour Measurement Committee of the
    Society, of Dyers and Colourists for predicting the degree of
    colour inconstancy, of surface colours. Among the many, transforms
    tested, this transform gave the most accurate predictions to a
    number of experimental data sets. However, the structure of
    CMCCAT97 is considered complicated and causes problems when
    applications require the use of its reverse mode. This article
    describes a simplified version of CMCCAT97-CMCCAT2000-which not
    only, is significantly, simpler and eliminates the problems of
    reversibility, but also gives a more accurate prediction to almost
    all experimental data sets than does the original transform. (C)
    2002 John Wiley \& Sons, Inc.},
  keywords     = {Chromatic adaptation,Color appearance},
}
@misc{Li2007e,
  title        = {The {{Problem}} with {{CAT02}} and {{Its
    Correction}}},
  author       = {Li, Changjun and Perales, Esther and Luo, Ming
    Ronnier and {Martinez-verdu}, Francisco},
  year         = 2007,
}
@article{Li2017,
  title        = {Comprehensive Color Solutions: {{CAM16}}, {{CAT16}},
    and {{CAM16-UCS}}},
  author       = {Li, Changjun and Li, Zhiqiang and Wang, Zhifeng and
    Xu, Yang and Luo, Ming Ronnier and Cui, Guihua and Melgosa, Manuel
    and Brill, Michael H and Pointer, Michael},
  year         = 2017,
  month        = dec,
  journal      = {Color Research \& Application},
  volume       = 42,
  number       = 6,
  pages        = {703--718},
  issn         = 03612317,
  doi          = {10.1002/col.22131},
  keywords     = {CAM02-UCS,CAT02,chromatic
    adaptation,color-appearance models,color-difference evaluation
    CIECAM02,corresponding color datasets,LUTCHI color-appearance
    datasets},
}
@misc{Lindbloom2003c,
  title        = {Delta {{E}} ({{CIE}} 1976)},
  author       = {Lindbloom, Bruce},
  year         = 2003,
  urldate      = {2014-02-24},
  howpublished = {http://brucelindbloom.com/Eqn\_DeltaE\_CIE76.html},
}
@misc{Lindbloom2003e,
  title        = {{{XYZ}} to {{xyY}}},
  author       = {Lindbloom, Bruce},
  year         = 2003,
  urldate      = {2014-02-24},
  howpublished = {http://www.brucelindbloom.com/Eqn\_XYZ\_to\_xyY.html},
}
@misc{Lindbloom2007a,
  title        = {Spectral {{Power Distribution}} of a {{CIE
    D-Illuminant}}},
  author       = {Lindbloom, Bruce},
  year         = 2007,
  urldate      = {2014-04-05},
  howpublished = {http://www.brucelindbloom.com/Eqn\_DIlluminant.html},
}
@misc{Lindbloom2009d,
  title        = {{{xyY}} to {{XYZ}}},
  author       = {Lindbloom, Bruce},
  year         = 2009,
  urldate      = {2014-02-24},
  howpublished = {http://www.brucelindbloom.com/Eqn\_xyY\_to\_XYZ.html},
}
@misc{Lindbloom2009f,
  title        = {Delta {{E}} ({{CMC}})},
  author       = {Lindbloom, Bruce},
  year         = 2009,
  urldate      = {2014-02-24},
  howpublished = {http://brucelindbloom.com/Eqn\_DeltaE\_CMC.html},
}
@misc{Lindbloom2009g,
  title        = {Chromatic {{Adaptation}}},
  author       = {Lindbloom, Bruce},
  year         = 2009,
  urldate      = {2014-02-24},
  howpublished = {http://brucelindbloom.com/Eqn\_ChromAdapt.html},
}
@misc{Lindbloom2011a,
  title        = {Delta {{E}} ({{CIE}} 1994)},
  author       = {Lindbloom, Bruce},
  year         = 2011,
  urldate      = {2014-02-24},
  howpublished = {http://brucelindbloom.com/Eqn\_DeltaE\_CIE94.html},
}
@misc{Lindbloom2014a,
  title        = {{{RGB Working Space Information}}},
  author       = {Lindbloom, Bruce},
  year         = 2014,
  urldate      = {2014-04-11},
  howpublished = {http://www.brucelindbloom.com/WorkingSpaceInfo.html},
}
@misc{Lindbloom2015,
  title        = {About the {{Lab Gamut}}},
  author       = {Lindbloom, Bruce},
  year         = 2015,
  urldate      = {2018-08-20},
  howpublished = {http://www.brucelindbloom.com/LabGamutDisplayHelp.html},
}
@article{Lu2016c,
  title        = {{{ITP Colour Space}} and {{Its Compression
    Performance}} for {{High Dynamic Range}} and {{Wide Colour Gamut
    Video Distribution}}},
  author       = {Lu, Taoran and Pu, Fangjun and Yin, Peng and Chen,
    Tao and Husak, Walt and Pytlarz, Jaclyn and Atkins, Robin and
    Froehlich, Jan and Su, Guan-Ming},
  year         = 2016,
  journal      = {ZTE Communications},
  volume       = 14,
  number       = 1,
  pages        = {32--38},
  abstract     = {High Dynamic Range (HDR) and Wider Colour Gamut
    (WCG) content represents a greater range of luminance levels and a
    more complete reproduction of colours found in real⁃world scenes.
    The current video distribution environments deliver Standard
    Dynamic Range (SDR) signal Y{$\prime$}CbCr. For HDR and WCG
    content, it is desirable to examine if such signal format still
    works well for compression, and to know if the overall system
    performance can be further improved by exploring different signal
    formats. In this paper, ITP (ICTCP) colour space is presented. The
    paper concentrates on examining the two aspects of ITP colour
    space: 1) ITP characteristics in terms of signal quantization at a
    given bit depth; 2) ITP compression performance. The analysis and
    simulation results show that ITP 10 bit has better properties than
    Y{$\prime$}CbCr⁃PQ 10bit in colour quantization, constant
    luminance, hue property and chroma subsampling, and it also has
    good compression efficiency. Therefore it is desirable to adopt
    ITP colour space as a new signal format for HDR/WCG video
    compression.},
  keywords     = {HDR,ICT CP,ITP,WCG,Y'CbCr},
}
@article{Luo1996b,
  title        = {The {{LLAB}} (l:C) Colour Model},
  author       = {Luo, Ming Ronnier and Lo, Mei-Chun and Kuo, Wen-Guey},
  year         = 1996,
  month        = dec,
  journal      = {Color Research \& Application},
  volume       = 21,
  number       = 6,
  pages        = {412--429},
  publisher    = {Wiley Subscription Services, Inc., A Wiley Company},
  issn         = {0361-2317},
  doi          = {10.1002/(SICI)1520-6378(199612)21:6<412::AID-COL4>3.0.CO;2-Z},
  abstract     = {A new colour model, named LLAB(l:c) is derived. It
    includes two parts: the BFD chromatic adaptation transform derived
    by Lam and Rigg, and a modified CIELAB uniform colour space. The
    model's performance was compared with the other spaces and models
    using the LUTCHI Colour Appearance Data Set. The results show that
    LLAB(l:c) model is capable of precisely quantifying the change of
    colour appearance under a wide range of viewing parameters such as
    light sources, surrounds/media, achromatic backgrounds, sizes of
    stimuli, and luminance levels. It had a similar performance as
    that of the Hunt colour appearance model. The LLAB(l:c) model was
    also tested using various colour difference datasets. The model
    gave a similar performance as the state-of-the-art colour
    difference formulae such as CMC, CIE94, and BFD. This performance
    is considered to be very satisfactory, and the model, therefore,
    should be considered for field trials in applications such as
    colour specification, colour difference evaluation, cross-image
    reproduction, gamut mapping, prediction of metamerism and colour
    constancy, and quantification of colour-rendering properties. The
    model does not give predictions for chroma (as distinct from
    colourfulness), or for brightness, and it does not include any rod
    response. {\copyright} 1996 John Wiley \& Sons, Inc.},
  keywords     = {chromatic adaptation transform,colour
    appearance,colour appearance model,colour difference,colour
    difference formula,corresponding colours,uniform colour space},
}
@inproceedings{Luo1996c,
  title        = {Two {{Unsolved Issues}} in {{Colour Management}} -
    {{Colour Appearance}} and {{Gamut Mapping}}},
  booktitle    = {Conference: 5th {{International Conference}} on
    {{High Technology}}: {{Imaging Science}} and {{Technology}} --
    {{Evolution}} \& {{Promise}}},
  author       = {Luo, Ming Ronnier and Morovic, J{\'a}n},
  year         = 1996,
  pages        = {136--147},
}
@article{Luo1999,
  title        = {Corresponding-Colour Datasets},
  author       = {Luo, M. Ronnier and Rhodes, Peter A.},
  year         = 1999,
  month        = aug,
  journal      = {Color Research \& Application},
  volume       = 24,
  number       = 4,
  pages        = {295--296},
  issn         = {0361-2317},
  doi          = {10.1002/(SICI)1520-6378(199908)24:4<295::AID-COL10>3.0.CO;2-K},
  abstract     = {Predicting the binding mode of flexible polypeptides
    to proteins is an important task that falls outside the domain of
    applicability of most small molecule and protein-protein docking
    tools. Here, we test the small molecule flexible ligand docking
    program Glide on a set of 19 non-{$\alpha$}-helical peptides and
    systematically improve pose prediction accuracy by enhancing Glide
    sampling for flexible polypeptides. In addition, scoring of the
    poses was improved by post-processing with physics-based implicit
    solvent MM- GBSA calculations. Using the best RMSD among the top
    10 scoring poses as a metric, the success rate (RMSD {$\leq$} 2.0
    {\AA} for the interface backbone atoms) increased from 21\% with
    default Glide SP settings to 58\% with the enhanced peptide
    sampling and scoring protocol in the case of redocking to the
    native protein structure. This approaches the accuracy of the
    recently developed Rosetta FlexPepDock method (63\% success for
    these 19 peptides) while being over 100 times faster.
    Cross-docking was performed for a subset of cases where an unbound
    receptor structure was available, and in that case, 40\% of
    peptides were docked successfully. We analyze the results and find
    that the optimized polypeptide protocol is most accurate for
    extended peptides of limited size and number of formal charges,
    defining a domain of applicability for this approach.},
}
@article{Luo2006b,
  title        = {Uniform Colour Spaces Based on {{CIECAM02}} Colour
    Appearance Model},
  author       = {Luo, M. Ronnier and Cui, Guihua and Li, Changjun},
  year         = 2006,
  month        = aug,
  journal      = {Color Research \& Application},
  volume       = 31,
  number       = 4,
  pages        = {320--330},
  issn         = {0361-2317},
  doi          = {10.1002/col.20227},
  abstract     = {Can a single colour model be used for all
    colorimetric applications? This article intends to answer that
    question. Colour appearance models have been developed to predict
    colour appearance under different viewing conditions. They are
    also capable of evaluating colour differences because of their
    embedded uniform colour spaces. This article first tests the
    performance of the CIE 2002 colour appearance model, CIECAM02, in
    predicting three types of colour discrimination data sets: large-
    and small-magnitude colour differences under daylight illuminants
    and small-magnitude colour differences under illuminant A. The
    results showed that CIECAM02 gave reasonable performance compared
    with the best available formulae and uniform colour spaces. It was
    further extended to give accurate predictions to all types of
    colour discrimination data. The results were very encouraging in
    that the CIECAM02 extensions performed second best among all the
    colour models tested and only slightly poorer than the models that
    were developed to fit a particular data set. One extension derived
    to fit all types of data can predict well for colour differences
    having a large range of difference magnitudes. 2006 Wiley
    Periodicals, Inc. Col Res Appl, 31, 320-330, 2006; Published
    online in Wiley InterScience DOI 10.1002/col.20227},
  isbn         = {0361-2317},
  keywords     = {Colour appearance data,Colour appearance
    model,Colour difference data,Colour difference formula,Uniform
    colour space},
}
@incollection{Luo2013,
  title        = {{{CIECAM02}} and {{Its Recent Developments}}},
  booktitle    = {Advanced {{Color Image Processing}} and {{Analysis}}},
  author       = {Luo, Ming Ronnier and Li, Changjun},
  editor       = {{Fernandez-Maloigne}, Christine},
  year         = 2013,
  pages        = {19--58},
  publisher    = {Springer New York},
  address      = {New York, NY},
  doi          = {10.1007/978-1-4419-6190-7},
  urldate      = {2014-09-27},
  isbn         = {978-1-4419-6189-1},
  keywords     = {cam,cat,chromatic adap-,ciecam02,color appearance
    model,colour appearance attributes,tation transforms,uniform
    colour spaces,visual phenomena},
}
@article{Luo2024,
  title        = {The New Preferred Memory Color ( {{{\textsc{PMC}}}}
    ) Chart},
  shorttitle   = {The New Preferred Memory Color (},
  author       = {Luo, Ming Ronnier},
  year         = 2024,
  month        = may,
  journal      = {Color Research \& Application},
  pages        = {col.22940},
  issn         = {0361-2317, 1520-6378},
  doi          = {10.1002/col.22940},
  urldate      = {2024-05-28},
  abstract     = {Abstract A color rendition chart, the preferred
    memory color (PMC) chart, has been produced. It comprises 30
    colored patches, divided into three groups: preferred memory
    colors, reference color-gamut colors, and a gray scale. The main
    purpose of the new chart is to enable users to produce
    satisfactory preferred color reproduction using digital cameras,
    displays, and printing systems. The methods used to develop the
    various colors, and the color specification of each color are
    presented. Finally, several potential applications of the chart
    for the characterization of imaging devices, for the evaluation of
    image color quality, and for the calculation of color rendering
    indices for lighting are suggested.},
  langid       = {english},
}
@article{MacAdam1935a,
  title        = {Maximum {{Visual Efficiency}} of {{Colored
    Materials}}},
  author       = {MacAdam, David L.},
  year         = 1935,
  month        = nov,
  journal      = {Journal of the Optical Society of America},
  volume       = 25,
  number       = 11,
  pages        = {361--367},
  publisher    = {OSA},
  doi          = {10.1364/JOSA.25.000361},
  abstract     = {Tristimulus values have been computed for
    hypothetical spectrophotometric curves of the type found to give
    the maximum visual reflectance factor (or transmission factor) for
    specified chromaticities. These computations have been based on
    the I.C.I. 1931 data for the normal observer for colorimetry, and
    on the I.C.I. Illuminants ``A'' and ``C.'' By plotting the results
    on the I.C.I. color mixture diagram, the loci of points
    characterized by equal maximum efficiencies have been established.
    Tables have been prepared showing the maximum visual efficiency as
    a function of excitation purity for twenty-four dominant
    wave-lengths.},
}
@article{Macadam1942,
  title        = {Visual {{Sensitivities}} to {{Color Differences}} in
    {{Daylight}}},
  author       = {Macadam, David L.},
  year         = 1942,
  journal      = {Journal of the Optical Society of America},
  volume       = 32,
  number       = 5,
  pages        = 28,
  issn         = {0030-3941},
  doi          = {10.1364/JOSA.32.000247},
  abstract     = {An apparatus is described which facilitates the
    presentation of pairs of variable colors without variation of
    luminance. With this instrument, various criteria of visual
    sensitivity to color difference have been investigated. The
    standard deviation of color matching was finally adopted as the
    most reproducible criterion. The test field was two degrees in
    diameter, divided by a vertical biprism edge, and was viewed
    centrally with a surrounding field of fortytwo degrees diameter
    uniformly illuminated so as to have a chromaticity similar to that
    of the I.C.I. Standard Illuminant C (average daylight). The
    luminance of the test field was maintained constant at 15
    millilamberts, and the surrounding field was 7.5 millilamberts.
    These fields were viewed monocularly through an artificial pupil,
    2.6 mm in diameter. Over twenty-five thousand trials at color
    matching have been recorded for a single observer, and the
    readings are analyzed in detail and compared with previously
    available data. The standard deviations of the trials are
    represented in terms of distance in the standard 1931 I.C.I.
    chromaticity diagram. These increments of distance are represented
    as functions of position along straight lines in the chromaticity
    diagram, and also as functions of direction of departure from
    points representing certain standard chromaticities. Such
    representations are simpler than the traditional representations
    of wavelength thresholds and purity thresholds as functions of
    wave-length, and the accuracy of the representations is improved
    by this simplicity. Chromaticity discrimination for non-spectral
    colors is represented simultaneously and on the same basis as for
    spectral colors. Small, equally noticeable chromaticity
    differences are represented for all chromaticities and for all
    kinds of variations by the lengths of the radii of a family of
    ellipses drawn on the standard chromaticity diagram. These
    ellipses cannot be transformed into equal-sized circles by any
    projective transformation of the standard chromaticity diagram.
    The consistency of these data with the results of other
    investigators is exhibited in terms of the noticeabilities of
    wave-length differences in the spectrum and of the noticeabilities
    of purity differences from a neutral stimulus, as functions of
    dominant wave-length.},
  isbn         = {0030-3941},
}
@article{Machado2009,
  title        = {A {{Physiologically-based Model}} for {{Simulation}}
    of {{Color Vision Deficiency}}},
  author       = {Machado, G.M. and Oliveira, M.M. and Fernandes, L.},
  year         = 2009,
  month        = nov,
  journal      = {IEEE Transactions on Visualization and Computer
    Graphics},
  volume       = 15,
  number       = 6,
  pages        = {1291--1298},
  issn         = {1077-2626},
  doi          = {10.1109/TVCG.2009.113},
  abstract     = {Color vision deficiency (CVD) affects approximately
    200 million people worldwide, compromising the ability of these
    individuals to effectively perform color and visualization-related
    tasks. This has a significant impact on their private and
    professional lives. We present a physiologically-based model for
    simulating color vision. Our model is based on the stage theory of
    human color vision and is derived from data reported in
    electrophysiological studies. It is the first model to
    consistently handle normal color vision, anomalous trichromacy,
    and dichromacy in a unified way. We have validated the proposed
    model through an experimental evaluation involving groups of color
    vision deficient individuals and normal color vision ones. Our
    model can provide insights and feedback on how to improve
    visualization experiences for individuals with CVD. It also
    provides a framework for testing hypotheses about some aspects of
    the retinal photoreceptors in color vision deficient individuals.},
  pmid         = 19834201,
  keywords     = {Anomalous Trichromacy,Color
    Perception,Dichromacy,Models of Color Vision,Simulation of Color
    Vision Deficiency},
}
@misc{Machado2010a,
  title        = {A Model for Simulation of Color Vision Deficiency
    and a Color Contrast Enhancement Technique for Dichromats.},
  author       = {Machado, Gustavo Mello},
  year         = 2010,
  pages        = {1--94},
  keywords     = {Anomalous Trichromacy,Color Perception,Color Vision
    Deficiency,Color-Contrast Enhancement,Dichromacy,Models of Color
    Vision,Recoloring Algorithm,Simulation of Color Vision Deficiency},
}
@article{Mallett2019,
  title        = {Spectral {{Primary Decomposition}} for {{Rendering}}
    with {{sRGB Reflectance}}},
  author       = {Mallett, Ian and Yuksel, Cem},
  year         = 2019,
  journal      = {Eurographics Symposium on Rendering - DL-only and
    Industry Track},
  pages        = {7 pages},
  publisher    = {The Eurographics Association},
  issn         = {1727-3463},
  doi          = {10.2312/SR.20191216},
  urldate      = {2020-08-08},
  abstract     = {Spectral renderers, as-compared to RGB renderers,
    are able to simulate light transport that is closer to reality,
    capturing light behavior that is impossible to simulate with any
    three-primary decomposition. However, spectral rendering requires
    spectral scene data (e.g. textures and material properties), which
    is not widely available, severely limiting the practicality of
    spectral rendering. Unfortunately, producing a physically valid
    reflectance spectrum from a given sRGB triple has been a
    challenging problem, and indeed until very recently constructing a
    spectrum without colorimetric round-trip error was thought to be
    impossible. In this paper, we introduce a new procedure for
    efficiently generating a reflectance spectrum from any given sRGB
    input data. We show for the first time that it is possible to
    create any sRGB reflectance spectrum as a linear combination of
    three separate spectra, each directly corresponding to one of the
    BT.709 primaries. Our approach produces consistent results, such
    that the input sRGB value is perfectly reproduced by the
    corresponding reflectance spectrum under D65 illumination, bounded
    only by Monte Carlo and numerical error. We provide a complete
    implementation, including a precomputed spectral basis, and
    discuss important optimizations and generalization to other RGB
    spaces.},
  isbn         = 9783038680956,
  keywords     = {Computing methodologies,Reflectance modeling},
}
@misc{Malvar2003,
  title        = {{{YCoCg-R}}: {{A Color Space}} with {{RGB
    Reversibility}} and {{Low Dynamic Range}}},
  author       = {Malvar, Henrique and Sullivan, Gary},
  year         = 2003,
}
@misc{Mansencal2015d,
  title        = {{{RED Colourspaces Derivation}}},
  author       = {Mansencal, Thomas},
  year         = 2015,
  urldate      = {2015-05-20},
  howpublished = {https://www.colour-science.org/posts/red-colourspaces-derivation},
}
@misc{Mansencal2018,
  title        = {How Is the Visible Gamut Bounded?},
  author       = {Mansencal, Thomas},
  year         = 2018,
  urldate      = {2018-08-19},
  howpublished = {https://stackoverflow.com/a/48396021/931625},
}
@misc{Mansencal2019,
  title        = {Colour - {{Datasets}}},
  author       = {Mansencal, Thomas},
  year         = 2019,
  doi          = {10.5281/zenodo.3362520},
}
@misc{Mansencalc,
  title        = {Lookup},
  author       = {Mansencal, Thomas},
}
@misc{Mansencald,
  title        = {Structure},
  author       = {Mansencal, Thomas},
}
@article{Martinez-Verdu2007,
  title        = {Computation and Visualization of the {{MacAdam}}
    Limits for Any Lightness, Hue Angle, and Light Source},
  author       = {{Mart{\'i}nez-Verd{\'u}}, Francisco and Perales,
    Esther and Chorro, Elisabet and {de Fez}, Dolores and Viqueira,
    Valent{\'i}n and Gilabert, Eduardo},
  year         = 2007,
  month        = jun,
  journal      = {Journal of the Optical Society of America A},
  volume       = 24,
  number       = 6,
  pages        = 1501,
  issn         = {1084-7529, 1520-8532},
  doi          = {10.1364/JOSAA.24.001501},
  urldate      = {2021-02-06},
  langid       = {english},
}
@misc{Melgosa2013b,
  title        = {{{CIE}} / {{ISO}} New Standard: {{CIEDE2000}}},
  author       = {Melgosa, Manuel},
  year         = 2013,
}
@article{Meng2015c,
  title        = {Physically {{Meaningful Rendering}} Using
    {{Tristimulus Colours}}},
  author       = {Meng, Johannes and Simon, Florian and Hanika,
    Johannes and Dachsbacher, Carsten},
  year         = 2015,
  month        = jul,
  journal      = {Computer Graphics Forum},
  volume       = 34,
  number       = 4,
  pages        = {31--40},
  issn         = 01677055,
  doi          = {10.1111/cgf.12676},
}
@misc{Miller2014a,
  title        = {A {{Perceptual EOTF}} for {{Extended Dynamic Range
    Imagery}}},
  author       = {Miller, Scott},
  year         = 2014,
  pages        = {1--17},
}
@article{Mokrzycki2011,
  title        = {Color Difference {{Delta E}} - {{A}} Survey},
  author       = {Mokrzycki, Wojciech and Tatol, Maciej},
  year         = 2011,
  month        = apr,
  journal      = {Machine Graphics and Vision},
  volume       = 20,
  pages        = {383--411},
  urldate      = {2020-08-09},
  abstract     = {Color perception is crucial for human existence. For
    this purpose, color spaces have been developed to describe
    mathematically the color that a person can feel with unaided eye.
    There was a new need to distinguish colors, define them as
    similar, identical or completely different. However colormatching
    technique requires a color palette with perceptually linear
    characteristics. In this article, will be presented to the most
    popular colors spaces, as both linear and nonlinear due to
    perceptual abilities, and are briefly discussed and compared to
    the sample values.},
  keywords     = {No DOI found},
}
@article{Moroney2003,
  title        = {A {{Radial Sampling}} of the {{OSA Uniform Color
    Scales}}},
  author       = {Moroney, Nathan},
  year         = 2003,
  journal      = {Color and Imaging Conference},
  volume       = 2003,
  number       = 1,
  pages        = {175--180},
  issn         = {2166-9635},
  abstract     = {The OSA Uniform Color Scales were derived using a
    unique geometry for the physical samples. Regular rhombohedral
    packing allows each sample to be compared to twelve other equally
    distant samples. While this sampling scheme provides an efficient
    geometry for sample comparison and allows multiple cleavage
    planes, it obscures the underlying perceptual attributes. However,
    it is relatively straightforward to compute a radial sampling of
    data points in OSA. This radial sampling results in a distance
    from the achromatic axis and an angular quantity and can be used
    to compare other color spaces. This paper presents a method and
    considerations for computing the radial sampling. The utility of
    this data is demonstrated by comparing the perceptual uniformity
    of five different color spaces.},
  eissn        = {2169-2629},
  itemtype     = {ARTICLE},
  parent_itemid = {infobike://ist/cic},
  publication_date = {2003-01-01T00:00:00},
  publishercode = {ist},
  keywords     = {No DOI found},
}
@article{Moroneya,
  title        = {The {{CIECAM02}} Color Appearance Model},
  author       = {Moroney, Nathan and Fairchild, Mark D. and Hunt,
    Robert W. G. and Li, Changjun and Luo, Ming Ronnier and Newman,
    Todd},
  year         = 2002,
  journal      = {Color and Imaging Conference},
  number       = 1,
  pages        = {23--27},
  urldate      = {2014-09-27},
  abstract     = {The CIE Technical Committee 8-01, color appearance
    models for color management applications, has recently proposed a
    single set of revisions to the CIECAM97s color appearance model.
    This new model, called CIECAM02, is based on CIECAM97s but
    includes many revisions and some simplifications. A partial list
    of revisions includes a linear chromatic adaptation transform, a
    new non-linear response compression function and modifications to
    the calculations for the perceptual attribute correlates. The
    format of this paper is an annotated description of the forward
    equations for the model.},
}
@article{Morovic2000,
  title        = {Calculating Medium and Image Gamut Boundaries for
    Gamut Mapping},
  author       = {Morovi{\v c}, J{\'a}n and Luo, M. Ronnier},
  year         = 2000,
  journal      = {Color Research and Application},
  volume       = 25,
  number       = 6,
  pages        = {394--401},
  issn         = 03612317,
  doi          = {10.1002/1520-6378(200012)25:63.0.CO;2-Y},
  abstract     = {The Segment Maxima Method for calculating gamut
    boundary descriptors of both colour reproduction media and colour
    images is introduced. Methods for determining the gamut boundary
    along a given line of mapping used by gamut mapping algorithms are
    then described, whereby these methods use the Gamut Boundary
    Descriptor obtained using the Segment Maxima Method. Throughout
    the article, the focus is both on colour reproduction media and
    colour images as well as on the suitability of the methods for use
    in gamut mapping. {\copyright} 2000 John Wiley \& Sons. Inc.},
  keywords     = {Cross-media reproduction,Gamut boundary
    calculation,Gamut mapping},
}
@misc{MunsellColorScienceb,
  title        = {Macbeth {{Colorchecker}}},
  author       = {{Munsell Color Science}},
}
@misc{MunsellColorSciencec,
  title        = {Munsell {{Colours Data}}},
  author       = {{Munsell Color Science}},
  urldate      = {2014-08-20},
  howpublished = {http://www.cis.rit.edu/research/mcsl2/online/munsell.php},
}
@misc{NationalElectricalManufacturersAssociation2004b,
  title        = {Digital {{Imaging}} and {{Communications}} in
    {{Medicine}} ({{DICOM}}) {{Part}} 14: {{Grayscale Standard Display
    Function}}},
  author       = {{National Electrical Manufacturers Association}},
  year         = 2004,
}
@misc{Nattress2016a,
  title        = {Private {{Discussion}} with {{Shaw}}, {{N}}.},
  author       = {Nattress, Graeme},
  year         = 2016,
}
@article{Nayatani1995a,
  title        = {Lightness Dependency of Chroma Scales of a Nonlinear
    Color-Appearance Model and Its Latest Formulation},
  author       = {Nayatani, Yoshinobu and Sobagaki, Hiroaki and Yano,
    Kenjiro Hashimoto Tadashi},
  year         = 1995,
  month        = jun,
  journal      = {Color Research \& Application},
  volume       = 20,
  number       = 3,
  pages        = {156--167},
  publisher    = {Wiley Subscription Services, Inc., A Wiley Company},
  issn         = 03612317,
  doi          = {10.1002/col.5080200305},
  keywords     = {color-vision model,lightness dependency of
    chroma,nonlinear color-appearance model},
}
@article{Nayatani1997,
  title        = {Simple Estimation Methods for the
    {{Helmholtz}}---{{Kohlrausch}} Effect},
  author       = {Nayatani, Yoshinobu},
  year         = 1997,
  journal      = {Color Research \& Application},
  volume       = 22,
  number       = 6,
  pages        = {385--401},
  issn         = {1520-6378},
  doi          = {10.1002/(SICI)1520-6378(199712)22:6<385::AID-COL6>3.0.CO;2-R},
  urldate      = {2021-06-22},
  abstract     = {Four kinds of simple estimation equations are
    proposed for the Helmholtz---Kohlrausch effect. Two of them can be
    used for luminous colors, and the other two for object colors. In
    each of luminous and object colors, the two estimation equations
    are given to each of the Variable-Achromatic-Color (VAC) and the
    Variable-Chromatic-Color (VCC) methods. All the equations are
    similar in type to the Ware---Cowan equation. They give the ratio
    between luminance (or metric lightness) of test color stimulus and
    its equivalent luminance (or equivalent lightness) directly.
    Though their computations are simple, they can apply to various
    H---K effects including their adapting luminance dependency. The
    applicable fields of the proposed equations are wider than those
    of the Ware---Cowan equation. The proposed equations can be
    applied to predict the H---K effect within the whole chromaticity
    gamut including spectral colors, spectral luminosity functions
    based on direct color matching from 0.01 Td to 100 000 Td using
    the photopic and the scotopic spectral luminosity functions
    specified by CIE, equivalent lightness values of NCS colors, and
    others. {\copyright} 1997 John Wiley \& Sons, Inc. Col Res Appl.
    22, 385--401, 1997},
  copyright    = {Copyright {\copyright} 1997 John Wiley \& Sons, Inc.},
  langid       = {english},
  keywords     = {CIELUV formula,color appearance,equivalent
    lightness,equivalent luminance,Helmholtz-Kohlrausch effect},
}
@article{Newhall1943a,
  title        = {Final {{Report}} of the {{OSA Subcommittee}} on the
    {{Spacing}} of the {{Munsell Colors}}},
  author       = {Newhall, Sidney M. and Nickerson, Dorothy and Judd,
    Deane B.},
  year         = 1943,
  month        = jul,
  journal      = {Journal of the Optical Society of America},
  volume       = 33,
  number       = 7,
  pages        = 385,
  issn         = {0030-3941},
  doi          = {10.1364/JOSA.33.000385},
  urldate      = {2014-09-26},
  abstract     = {This report presents the characteristics of a
    modified and enlarged Munsell solid which has been evolved from
    the 1940 visual estimates of the Munsell Book of Color samples.
    All three dimensions have been carefully reviewed and extensively
    revised. The newly defined loci of constant hue have been extended
    closer to the extremes of value while the loci of constant chroma
    have been extrapolated to the pigment maximum. The dimension of
    value has been redefined without substantial departure from the
    Munsell-Sloan-Godlove scale. By the above changes a solid is
    achieved which approaches more closely to A. H. Munsell's dual
    ideal of psychological equispacing and precise applicability. The
    new solid is defined in terms of the I.C.I. standard coordinate
    system and Illuminant C.},
}
@misc{Nikon2018,
  title        = {N-{{Log Specification Document}} - {{Version}} 1.0.0},
  author       = {{Nikon}},
  year         = 2018,
  pages        = {1--5},
  urldate      = {2019-09-09},
}
@article{Ohno2005,
  title        = {Spectral Design Considerations for White {{LED}}
    Color Rendering},
  author       = {Ohno, Yoshi},
  year         = 2005,
  journal      = {Optical Engineering},
  volume       = 44,
  number       = 11,
  pages        = 111302,
  issn         = {0091-3286},
  doi          = {10.1117/1.2130694},
  abstract     = {White LED spectra for general lighting should be
    designed for high luminous efficacy as well as good color
    rendering. Multichip and phosphor-type white LED models were
    analyzed by simulation of their color characteristics and luminous
    efficacy of radiation, compared with those of conventional light
    sources for general lighting. Color rendering characteristics were
    evaluated based on the CIE Color Rendering Index (CRI), examining
    not only Ra but also the special color rendering indices Ri, as
    well as on the CIELAB color difference {$\Delta$}Eab* for the 14
    color samples defined in CIE 13.3. Several models of three-chip
    and four-chip white LEDs as well as phosphor-type LEDs are
    optimized for various parameters, and some guidance is given for
    designing these white LEDs. The simulation analysis also
    demonstrated several problems with the current CRI, and the need
    for improvements is discussed.},
  isbn         = 3018408551,
}
@misc{Ohno2008a,
  title        = {{{NIST CQS}} Simulation},
  author       = {Ohno, Yoshiro and Davis, Wendy},
  year         = 2008,
}
@misc{Ohno2013,
  title        = {{{NIST CQS}} Simulation},
  author       = {Ohno, Yoshiro and Davis, Wendy},
  year         = 2013,
}
@article{Ohno2014a,
  title        = {Practical {{Use}} and {{Calculation}} of {{CCT}} and
    {{Duv}}},
  author       = {Ohno, Yoshiro},
  year         = 2014,
  month        = jan,
  journal      = {LEUKOS},
  volume       = 10,
  number       = 1,
  pages        = {47--55},
  issn         = {1550-2724},
  doi          = {10.1080/15502724.2014.839020},
  urldate      = {2014-09-27},
  keywords     = {chromaticity,correlated color
    temperature,duv,Duv,light source,planckian locus,Planckian locus},
}
@misc{Ohta1997a,
  title        = {The Basis of Color Reproduction Engineering},
  author       = {Ohta, N.},
  year         = 1997,
}
@article{Otsu2018,
  title        = {Reproducing {{Spectral Reflectances From Tristimulus
    Colours}}},
  shorttitle   = {Reproducing {{Spectral Reflectances From Tristimulus
    Colours}}},
  author       = {Otsu, H. and Yamamoto, M. and Hachisuka, T.},
  year         = 2018,
  month        = sep,
  journal      = {Computer Graphics Forum},
  volume       = 37,
  number       = 6,
  pages        = {370--381},
  issn         = 01677055,
  doi          = {10.1111/cgf.13332},
  urldate      = {2020-07-15},
  langid       = {english},
  keywords     = {3,7,according to acm ccs,and texture,categories and
    subject descriptors,color,computer
    graphics,i,realism,shading,shadowing,spectral reflectance
    reconstruction,spectral rendering,three-dimensional graphics and},
}
@misc{Ottosson2020,
  title        = {A Perceptual Color Space for Image Processing},
  author       = {Ottosson, Bj{\"o}rn},
  year         = 2020,
  urldate      = {2020-12-24},
  howpublished = {https://bottosson.github.io/posts/oklab/},
}
@misc{PLASANorthAmerica2015,
  title        = {{{ANSI E1}}.54 - 2015 - {{PLASA Standard}} for
    {{Color Communication}} in {{Entertainment Lighting}}},
  author       = {{PLASA North America}},
  year         = 2015,
}
@misc{Panasonic2014a,
  title        = {{{VARICAM V-Log}}/{{V-Gamut}}},
  author       = {{Panasonic}},
  year         = 2014,
  pages        = {1--7},
}
@misc{Pointer1980a,
  title        = {Pointer's {{Gamut Data}}},
  author       = {Pointer, Michael R.},
  year         = 1980,
}
@misc{REDDigitalCinema2017,
  title        = {White {{Paper}} on {{REDWideGamutRGB}} and
    {{Log3G10}}},
  author       = {{RED Digital Cinema}},
  year         = 2017,
  urldate      = {2021-01-16},
}
@article{Ragoo2021,
  title        = {Optimising a {{Euclidean Colour Space Transform}}
    for {{Colour Order}} and {{Perceptual Uniformity}}},
  author       = {Ragoo, Luvin Munish and Farup, Ivar},
  year         = 2021,
  month        = nov,
  journal      = {Color and Imaging Conference},
  volume       = 29,
  number       = 1,
  pages        = {282--287},
  issn         = {2166-9635},
  doi          = {10.2352/issn.2169-2629.2021.29.282},
  urldate      = {2022-05-22},
}
@misc{Rakotoarison2017,
  title        = {Bunch},
  author       = {Rakotoarison, Herilalaina},
  year         = 2017,
  month        = mar,
}
@misc{RenewableResourceDataCenter2003a,
  title        = {Reference {{Solar Spectral Irradiance}}: {{ASTM
    G-173}}},
  author       = {{Renewable Resource Data Center}},
  year         = 2003,
  urldate      = {2014-08-23},
  howpublished = {http://rredc.nrel.gov/solar/spectra/am1.5/ASTMG173/ASTMG173.html},
}
@misc{RisingSunResearch,
  title        = {{{cineSpace LUT Library}}},
  author       = {{Rising Sun Research}},
  urldate      = {2018-11-30},
  howpublished = {https://sourceforge.net/projects/cinespacelutlib/},
}
@misc{Saeedna,
  title        = {Extend a Line Segment a Specific Distance},
  author       = {{Saeedn}},
  urldate      = {2016-01-16},
  howpublished = {http://stackoverflow.com/questions/7740507/extend-a-line-segment-a-specific-distance},
}
@article{Safdar2017,
  title        = {Perceptually Uniform Color Space for Image Signals
    Including High Dynamic Range and Wide Gamut},
  author       = {Safdar, Muhammad and Cui, Guihua and Kim, Youn Jin
    and Luo, Ming Ronnier},
  year         = 2017,
  month        = jun,
  journal      = {Optics Express},
  volume       = 25,
  number       = 13,
  pages        = 15131,
  issn         = {1094-4087},
  doi          = {10.1364/OE.25.015131},
  abstract     = {A perceptually uniform color space has been long
    desired for a wide range of imaging applications. Such a color
    space should be able to represent a color pixel in three unique
    and independent attributes (lightness, chroma, and hue). Such a
    space would be perceptually uniform over a wide gamut, linear in
    iso-hue directions, and can predict both small and large color
    differences as well as lightness in high dynamic range
    environments. It would also have minimum computational cost for
    real time or quasi-real time processing. Presently available color
    spaces are not able to achieve these goals satisfactorily and
    comprehensively. In this study, a uniform color space is proposed
    and its performance in predicting a wide range of experimental
    data is presented in comparison with the other state of the art
    color spaces.},
  keywords     = {and visual optics,color,Color,Color
    vision,Colorimetry,Vision},
}
@article{Safdar2018,
  ids          = {Safdar2019},
  title        = {A {{Colour Appearance Model}} Based on {{J}} z a z b
    z {{Colour Space}}},
  author       = {Safdar, Muhammad and Hardeberg, Jon Y. and Kim, Youn
    Jin and Luo, Ming Ronnier},
  year         = 2018,
  month        = nov,
  journal      = {Color and Imaging Conference},
  volume       = 2018,
  number       = 1,
  pages        = {96--101},
  issn         = {2166-9635},
  doi          = {10.2352/ISSN.2169-2629.2018.26.96},
  abstract     = {The current CIE colour appearance model CIECAM02 and
    its variant named CAM16 can well predict common colour appearance
    attributes including lightness, brightness, chroma, colourfulness,
    saturation, hue angle, and hue composition. These models are
    complicated as well as have mathematical problems. The current
    study aimed a new colour appearance model based on Jzazbz color
    space to obtain either better or similar performance compared with
    CAM16 but the new model should be computationally simple and
    robust. Such a model will particularly be suitable for color
    management in high dynamic range and wide color gamut
    applications. A range of experimental data were collected and a
    set of equations was derived. Some initial test results are
    presented in this paper.},
  isbn         = 9780892083374,
}
@article{Safdar2021,
  title        = {{{ZCAM}}, a Colour Appearance Model Based on a High
    Dynamic Range Uniform Colour Space},
  author       = {Safdar, Muhammad and Hardeberg, Jon Yngve and
    Ronnier Luo, Ming},
  year         = 2021,
  month        = feb,
  journal      = {Optics Express},
  volume       = 29,
  number       = 4,
  pages        = 6036,
  issn         = {1094-4087},
  doi          = {10.1364/OE.413659},
  urldate      = {2021-10-29},
  abstract     = {A colour appearance model based on a uniform colour
    space is proposed. The proposed colour appearance model, ZCAM,
    comprises of comparatively simple mathematical equations, and
    plausibly agrees with the psychophysical phenomenon of colour
    appearance perception. ZCAM consists of ten colour appearance
    attributes including brightness, lightness, colourfulness, chroma,
    hue angle, hue composition, saturation, vividness, blackness, and
    whiteness. Despite its relatively simpler mathematical structure,
    ZCAM performed at least similar to the CIE standard colour
    appearance model CIECAM02 and its revision, CAM16, in predicting a
    range of reliable experimental data.},
  langid       = {english},
}
@misc{Sarifuddin2005,
  title        = {A {{New Perceptually Uniform Color Space}} with
    {{Associated Color Similarity Measure}} for {{ContentBased Image}}
    and {{Video Retrieval}}},
  author       = {Sarifuddin, Madenda and Missaoui, Rokia},
  year         = 2005,
}
@misc{Sarifuddin2005a,
  title        = {{{HCL}}: A New {{Color Space}} for a More
    {{Effective Content-based Image Retrieval}}},
  author       = {Sarifuddin, Madenda and Missaoui, Rokia},
  year         = 2005,
}
@misc{Sarifuddin2021,
  title        = {{{RGB}} to {{HCL}} and {{HCL}} to {{RGB}} Color
    Conversion},
  author       = {Sarifuddin, Madenda},
  year         = 2021,
}
@misc{Sastanina,
  title        = {How to Make Scipy.Interpolate Give an Extrapolated
    Result beyond the Input Range?},
  author       = {{sastanin}},
  urldate      = {2014-08-08},
  howpublished = {http://stackoverflow.com/a/2745496/931625},
}
@article{Sharma2005b,
  title        = {The {{CIEDE2000}} Color-Difference Formula:
    {{Implementation}} Notes, Supplementary Test Data, and
    Mathematical Observations},
  author       = {Sharma, Gaurav and Wu, Wencheng and Dalal, Edul N.},
  year         = 2005,
  month        = feb,
  journal      = {Color Research \& Application},
  volume       = 30,
  number       = 1,
  pages        = {21--30},
  issn         = {0361-2317},
  doi          = {10.1002/col.20070},
  urldate      = {2014-09-27},
  abstract     = {This article and the associated data and
    programs{\textbackslash}nprovided with it are intended to assist
    color engineers and{\textbackslash}nscientists in correctly
    implementing the recently developed{\textbackslash}nCIEDE2000
    color-difference formula. We indicate
    several{\textbackslash}npotential implementation errors that are
    not uncovered in{\textbackslash}ntests performed using the
    original sample data published{\textbackslash}nwith the standard.
    A supplemental set of data is provided
    for{\textbackslash}ncomprehensive testing of implementations. The
    test data,{\textbackslash}nMicrosoft Excel spreadsheets, and
    MATLAB scripts for{\textbackslash}nevaluating the CIEDE2000 color
    difference are made avail-{\textbackslash}nable at the first
    author's website. Finally, we also point out{\textbackslash}nsmall
    mathematical discontinuities in the formula.},
  keywords     = {CIE,CIE94,CIEDE2000,CIELAB,CMC,Color-difference
    metrics},
}
@misc{Shirley2015a,
  title        = {The Prismatic Color Space for Rgb Computations},
  author       = {Shirley, Peter and Hart, David},
  year         = 2015,
  pages        = {2--7},
  abstract     = {In the spirit of the HSV color space, we introduce a
    simple transform of the RGB color cube into a light/dark dimension
    and a 2D hue. The hue is a normalized (barycentric) triangle with
    pure red, green, and blue at the vertices, often called the
    Maxwell Color Tri- angle. Each cross section of the space is the
    same barycentric triangle, and the light/dark dimension runs zero
    to one for each hue so the whole color volume takes the form of a
    prism. This prismatic space has advantages computationally and
    intuitively for some common color operations used in computer
    graphics and image processing.},
}
@misc{Siragusano2018a,
  title        = {Private {{Discussion}} with {{Shaw}}, {{Nick}}.},
  author       = {Siragusano, Daniele},
  year         = 2018,
}
@inproceedings{Smith1978b,
  title        = {Color Gamut Transform Pairs},
  booktitle    = {Proceedings of the 5th Annual Conference on
    {{Computer}} Graphics and Interactive Techniques - {{SIGGRAPH}}
    '78},
  author       = {Smith, Alvy Ray},
  year         = 1978,
  pages        = {12--19},
  publisher    = {ACM Press},
  address      = {New York, New York, USA},
  doi          = {10.1145/800248.807361},
  keywords     = {Brightness,Color,Color transform,color
    transforms,Gamut,HSL,HSV,Hue,Luminance,NTSC,RGB,Saturation,Value},
}
@article{Smits1999a,
  title        = {An {{RGB-to-Spectrum Conversion}} for
    {{Reflectances}}},
  author       = {Smits, Brian},
  year         = 1999,
  month        = jan,
  journal      = {Journal of Graphics Tools},
  volume       = 4,
  number       = 4,
  pages        = {11--22},
  publisher    = {AK Peters, Ltd.},
  issn         = {1086-7651},
  doi          = {10.1080/10867651.1999.10487511},
  urldate      = {2014-09-19},
  abstract     = {The desire for accuracy and realism in images
    requires a physically-based rendering system. Often this can mean
    using a full spectral representation, as RGB represen- tations
    have limitations in some situations4. The spectral representation
    does come at some cost, not ...},
}
@book{SocietyofMotionPictureandTelevisionEngineers1993a,
  title        = {{{RP}} 177:1993 - {{Derivation}} of {{Basic
    Television Color Equations}}},
  author       = {{Society of Motion Picture and Television Engineers}},
  year         = 1993,
  month        = jan,
  journal      = {RP 177:1993},
  volume       = {RP 177:199},
  publisher    = {{The Society of Motion Picture and Television
    Engineers}},
  doi          = {10.5594/S9781614821915},
  abstract     = {color white whitepoint matrix Scope This practice is
    intended to define the numerical procedures for deriving basic
    color equations for color television and other systems using
    additive display devices. These equations are first, the
    normalized reference primary matrix which defines the relationship
    between RGB signals and CIE tristimulus values XYZ; then, the
    system luminance equation; and finally, the color primary
    transformation matrix for transforming signals from one set of
    reference primaries to another set of reference primaries or to a
    set of display primaries.},
  isbn         = {978-1-61482-191-5},
}
@misc{SocietyofMotionPictureandTelevisionEngineers1999b,
  title        = {{{ANSI}}/{{SMPTE 240M-1995}} - {{Signal Parameters}}
    - 1125-{{Line High-Definition Production Systems}}},
  author       = {{Society of Motion Picture and Television Engineers}},
  year         = 1999,
  pages        = {1--7},
}
@book{SocietyofMotionPictureandTelevisionEngineers2004a,
  title        = {{{RP}} 145:2004: {{SMPTE C Color Monitor
    Colorimetry}}},
  author       = {{Society of Motion Picture and Television Engineers}},
  year         = 2004,
  month        = jan,
  journal      = {RP 145:2004},
  volume       = {RP 145:200},
  publisher    = {{The Society of Motion Picture and Television
    Engineers}},
  doi          = {10.5594/S9781614821649},
  abstract     = {cie Scope This practice specifies the chromaticity
    values of the red, green, and blue visible radiation emitted by
    the primaries and the chromaticity of the white point for
    professional monitors used in systems based on SMPTE C
    colorimetry.},
  isbn         = {978-1-61482-164-9},
}
@misc{SocietyofMotionPictureandTelevisionEngineers2014a,
  title        = {{{SMPTE ST}} 2084:2014 - {{Dynamic Range
    Electro-Optical Transfer Function}} of {{Mastering Reference
    Displays}}},
  author       = {{Society of Motion Picture and Television Engineers}},
  year         = 2014,
  pages        = {1--14},
  doi          = {10.5594/SMPTE.ST2084.2014},
  abstract     = {This standard specifies an EOTF characterizing
    high-dynamic-range reference displays used primarily for mastering
    non-broadcast content. This standard also specifies an
    Inverse-EOTF derived from the EOTF.},
}
@misc{SocietyofMotionPictureandTelevisionEngineers2019,
  title        = {{{ST}} 428-1:2019 - {{D-Cinema Distribution Master}}
    --- {{Image Characteristic}}},
  author       = {{Society of Motion Picture and Television Engineers}},
  year         = 2019,
  doi          = {10.5594/SMPTE.ST428-1.2019},
}
@misc{SonyCorporation,
  title        = {S-{{Log Whitepaper}}},
  author       = {{Sony Corporation}},
  pages        = {1--17},
}
@misc{SonyCorporation2012a,
  title        = {S-{{Log2 Technical Paper}}},
  author       = {{Sony Corporation}},
  year         = 2012,
  pages        = {1--9},
}
@misc{SonyCorporationd,
  title        = {Technical {{Summary}} for
    {{S-Gamut3}}.{{Cine}}/{{S-Log3}} and {{S-Gamut3}}/{{S-Log3}}},
  author       = {{Sony Corporation}},
  pages        = {1--7},
}
@misc{SonyCorporatione,
  title        = {S-{{Gamut3}}\_{{S-Gamut3Cine}}\_{{Matrix}}.Xlsx},
  author       = {{Sony Corporation}},
}
@misc{SonyElectronicsCorporation2020,
  title        = {{{IDT}}.{{Sony}}.{{Venice}}\_{{SLog3}}\_{{SGamut3}}.Ctl},
  author       = {{Sony Electronics Corporation}},
  year         = 2020,
}
@misc{SonyElectronicsCorporation2020a,
  title        = {{{IDT}}.{{Sony}}.{{Venice}}\_{{SLog3}}\_{{SGamut3Cine}}.Ctl},
  author       = {{Sony Electronics Corporation}},
  year         = 2020,
}
@misc{SonyImageworks2012a,
  title        = {Make.Py},
  author       = {{Sony Imageworks}},
  year         = 2012,
  pages        = 1,
  urldate      = {2014-11-27},
  howpublished = {https://github.com/imageworks/OpenColorIO-Configs/blob/master/nuke-default/make.py},
}
@misc{Spaulding2000b,
  title        = {Reference {{Input}}/{{Output Medium Metric RGB Color
    Encodings}} ({{RIMM}}/{{ROMM RGB}})},
  author       = {Spaulding, K E and Woolfe, G J and Giorgianni, E J},
  year         = 2000,
  pages        = {1--8},
  abstract     = {A new color encoding specification known as
    Reference Output Medium Metric RGB (ROMM RGB) is defined. This
    color encoding is intended to be used for storing, interchanging
    and manipulating images that exist in a rendered image state
    without imposing the gamut limitations normally associated with
    device-specific color spaces. ROMM RGB was designed to provide a
    large enough color gamut to encompass most common output devices,
    while simultaneously satisfying a number of other important
    criteria. It is defined in a way that is tightly linked to the ICC
    profile connection space (PCS) and is suitable for use as an Adobe
    PhotoshopTM working color space. A companion color encoding
    specification, known as Reference Input Medium Metric RGB (RIMM
    RGB), is also defined. This encoding can be used to represent
    images in an unrendered scene image state.},
}
@misc{Spiker2015a,
  title        = {Private {{Discussion}} with {{Mansencal}}, {{T}}.},
  author       = {Spiker, Nick},
  year         = 2015,
}
@article{Stearns1988a,
  title        = {An Example of a Method for Correcting Radiance Data
    for {{Bandpass}} Error},
  author       = {Stearns, E. I. and Stearns, R. E.},
  year         = 1988,
  month        = aug,
  journal      = {Color Research \& Application},
  volume       = 13,
  number       = 4,
  pages        = {257--259},
  publisher    = {Wiley Subscription Services, Inc., A Wiley Company},
  issn         = 03612317,
  doi          = {10.1002/col.5080130410},
}
@misc{Susstrunk1999a,
  title        = {Standard {{RGB Color Spaces}}},
  author       = {Susstrunk, Sabine and Buckley, Robert and Swen,
    Steve},
  year         = 1999,
  abstract     = {This paper describes the specifications and usage of
    standard RGB color spaces promoted today by standard bodies and/or
    the imaging industry. As in the past, most of the new standard RGB
    color spaces were developed for specific imaging workflow and
    applications. They are used as interchange spaces to communicate
    color and/or as working spaces in imaging applications. Standard
    color spaces can facilitate color communication: if an image is in
    `knownRGB,' the user, application, and/or device can unambiguously
    understand the color of the image, and further color manage from
    there if necessary. When applied correctly, a standard RGB space
    can minimize color space conversions in an imaging workflow,
    improve image reproducibility, and facilitate
    accountability.{\textbackslash}nThe digital image color workflow
    is examined with emphasis on when an RGB color space is
    appropriate, and when to apply color management by profile. An RGB
    space is ``standard'' because either it is defined in an official
    standards document (a de jure standard) or it is supported by
    commonly used tools (a de facto standard). Examples of standard
    RGB color spaces are ISO RGB, sRGB, ROMM RGB, Adobe RGB 98, Apple
    RGB, and video RGB spaces (NTSC, EBU, ITU-R BT.709). As there is
    no one RGB color space that is suitable for all imaging needs,
    factors to consider when choosing an RGB color space are
    discussed.},
  keywords     = {are becoming a thing,color communication,color image
    workflow,color management,color spaces,color standards,it is quite
    common,of the,past,skilled operators manage color,to be scanned
    by,today for an image},
}
@inproceedings{Susstrunk2000,
  title        = {Chromatic Adaptation Performance of Different
    {{RGB}} Sensors},
  booktitle    = {Photonics {{West}} 2001 - {{Electronic Imaging}}},
  author       = {Susstrunk, Sabine E. and Holm, Jack M. and
    Finlayson, Graham D.},
  editor       = {Eschbach, Reiner and Marcu, Gabriel G.},
  year         = 2000,
  month        = dec,
  volume       = 4300,
  pages        = {172--183},
  doi          = {10.1117/12.410788},
  urldate      = {2014-09-27},
  abstract     = {Chromatic adaptation transforms are used in imaging
    system to map image appearance to colorimetry under different
    illumination sources. In this paper, the performance of different
    chromatic adaptation transforms (CAT) is compared with the
    performance of transforms based on RGB primaries that have been
    investigated in relation to standard color spaces for digital
    still camera characterization and image interchange. The chromatic
    adaptation transforms studied are von Kries, Bradford, Sharp, and
    CMCCAT2000. The RGB primaries investigated are ROMM, ITU-R BT.709,
    and 'prime wavelength' RGB. The chromatic adaptation model used is
    a von Kries model that linearly scales post-adaptation cone
    response with illuminant dependent coefficients. The transforms
    were evaluated using 16 sets of corresponding color dat. The
    actual and predicted tristimulus values were converted to CIELAB,
    and three different error prediction metrics, (Delta) ELab,
    (Delta) ECIE94, and (Delta) ECMC(1:1) were applied to the results.
    One-tail Student-t tests for matched pairs were calculated to
    compare if the variations in errors are statistically significant.
    For the given corresponding color data sets, the traditional
    chromatic adaptation transforms, Sharp CAT and CMCCAT2000,
    performed best. However, some transforms based on RGB primaries
    also exhibit good chromatic adaptation behavior, leading to the
    conclusion that white-point independent RGB spaces for image
    encoding can be defined. This conclusion holds only if the linear
    von Kries model is considered adequate to predict chromatic
    adaptation behavior.},
  keywords     = {1,709,adaptation can be considered,as a dynamic
    mechanism,bradford transform,cat,chromatic adaptation,chromatic
    adaptation transform,cmccat2000,corresponding color
    data,equi-energy rgb,itu-r bt,of the human visual,prime wavelength
    rgb,rgb,romm,sharp transform,system to optimize the,visual
    response to a,von kries},
}
@misc{TheAcademyofMotionPictureArtsandSciences2014q,
  title        = {Technical {{Bulletin TB-2014-004}} - {{Informative
    Notes}} on {{SMPTE ST}} 2065-1 - {{Academy Color Encoding
    Specification}} ({{ACES}})},
  author       = {{The Academy of Motion Picture Arts and Sciences}
    and {Science and Technology Council} and {Academy Color Encoding
    System (ACES) Project Subcommittee}},
  year         = 2014,
  pages        = {1--40},
  urldate      = {2014-12-19},
}
@misc{TheAcademyofMotionPictureArtsandSciences2014r,
  title        = {Technical {{Bulletin TB-2014-012}} - {{Academy Color
    Encoding System Version}} 1.0 {{Component Names}}},
  author       = {{The Academy of Motion Picture Arts and Sciences}
    and {Science and Technology Council} and {Academy Color Encoding
    System (ACES) Project Subcommittee}},
  year         = 2014,
  pages        = {1--8},
  urldate      = {2014-12-19},
}
@misc{TheAcademyofMotionPictureArtsandSciences2014s,
  ids          = {TheAcademyofMotionPictureArtsandSciences2013b},
  title        = {Specification {{S-2013-001}} - {{ACESproxy}}, an
    {{Integer Log Encoding}} of {{ACES Image Data}}},
  author       = {{The Academy of Motion Picture Arts and Sciences}
    and {Science and Technology Council} and {Academy Color Encoding
    System (ACES) Project Subcommittee}},
  year         = 2013,
  pages        = {1--13},
  urldate      = {2014-12-19},
}
@misc{TheAcademyofMotionPictureArtsandSciences2014t,
  title        = {Specification {{S-2014-003}} - {{ACEScc}}, {{A
    Logarithmic Encoding}} of {{ACES Data}} for Use within {{Color
    Grading Systems}}},
  author       = {{The Academy of Motion Picture Arts and Sciences}
    and {Science and Technology Council} and {Academy Color Encoding
    System (ACES) Project Subcommittee}},
  year         = 2014,
  pages        = {1--12},
  urldate      = {2014-12-19},
}
@misc{TheAcademyofMotionPictureArtsandSciences2015b,
  title        = {Specification {{S-2014-004}} - {{ACEScg}} - {{A
    Working Space}} for {{CGI Render}} and {{Compositing}}},
  author       = {{The Academy of Motion Picture Arts and Sciences}
    and {Science {and} Technology Council} and {Academy Color Encoding
    System (ACES) Project Subcommittee}},
  year         = 2015,
  pages        = {1--9},
  urldate      = {2015-04-24},
}
@misc{TheAcademyofMotionPictureArtsandSciences2015c,
  title        = {Procedure {{P-2013-001}} - {{Recommended
    Procedures}} for the {{Creation}} and {{Use}} of {{Digital Camera
    System Input Device Transforms}} ({{IDTs}})},
  author       = {{The Academy of Motion Picture Arts and Sciences}
    and {Science and Technology Council} and {Academy Color Encoding
    System (ACES) Project Subcommittee}},
  year         = 2015,
  pages        = {1--29},
  urldate      = {2015-04-24},
}
@misc{TheAcademyofMotionPictureArtsandSciences2016c,
  title        = {Specification {{S-2016-001}} - {{ACEScct}}, {{A
    Quasi-Logarithmic Encoding}} of {{ACES Data}} for Use within
    {{Color Grading Systems}}},
  author       = {{The Academy of Motion Picture Arts and Sciences}
    and {Science and Technology Council} and {Academy Color Encoding
    System (ACES) Project}},
  year         = 2016,
  urldate      = {2016-10-10},
  howpublished = {http://j.mp/S-2016-001},
}
@misc{TheAcademyofMotionPictureArtsandSciences2020,
  title        = {Specification {{S-2014-006}} - {{Common LUT Format}}
    ({{CLF}}) - {{A Common File Format}} for {{Look-Up Tables}}},
  author       = {{The Academy of Motion Picture Arts and Sciences}
    and {Science and Technology Council} and {Academy Color Encoding
    System (ACES) Project Subcommittee}},
  year         = 2020,
  urldate      = {2020-06-24},
}
@misc{TheAcademyofMotionPictureArtsandSciences2020a,
  title        = {Academy {{Spectral Similarity Index}} ({{SSI}}):
    {{Overview}}},
  author       = {{The Academy of Motion Picture Arts and Sciences}},
  year         = 2020,
  pages        = {1--7},
  urldate      = {2023-06-05},
}
@misc{TheAcademyofMotionPictureArtsandSciences2023,
  title        = {{{IDT}}.{{Apple}}.{{AppleLog}}\_{{BT2020}}.Ctl},
  author       = {{The Academy of Motion Picture Arts and Sciences}},
  year         = 2023,
  urldate      = {2023-12-17},
}
@misc{TheAcademyofMotionPictureArtsandSciencesa,
  title        = {{{ACESutil}}.{{Lin}}\_to\_{{Log2}}\_param.Ctl},
  author       = {{The Academy of Motion Picture Arts and Sciences}
    and {Science and Technology Council} and {Academy Color Encoding
    System (ACES) Project Subcommittee}},
  urldate      = {2020-06-14},
  howpublished = {https://github.com/ampas/aces-dev/blob/518c27f577e99cdecfddf2ebcfaa53444b1f9343/transforms/ctl/utilities/ACESutil.Lin\_to\_Log2\_param.ctl},
}
@misc{TheAcademyofMotionPictureArtsandSciencesb,
  title        = {{{ACESutil}}.{{Log2}}\_to\_{{Lin}}\_param.Ctl},
  author       = {{The Academy of Motion Picture Arts and Sciences}
    and {Science and Technology Council} and {Academy Color Encoding
    System (ACES) Project Subcommittee}},
  urldate      = {2020-06-14},
  howpublished = {https://github.com/ampas/aces-dev/blob/518c27f577e99cdecfddf2ebcfaa53444b1f9343/transforms/ctl/utilities/ACESutil.Log2\_to\_Lin\_param.ctl},
}
@misc{TheAcademyofMotionPictureArtsandSciencese,
  title        = {Academy {{Color Encoding System}}},
  author       = {{The Academy of Motion Picture Arts and Sciences}
    and {Science and Technology Council} and {Academy Color Encoding
    System (ACES) Project Subcommittee}},
  urldate      = {2014-02-24},
  howpublished = {http://www.oscars.org/science-technology/council/projects/aces.html},
}
@misc{Thorpe2012a,
  title        = {{{CANON-LOG TRANSFER CHARACTERISTIC}}},
  author       = {Thorpe, Larry},
  year         = 2012,
  urldate      = {2014-09-25},
}
@misc{Trieu2015a,
  title        = {Private {{Discussion}} with {{Mansencal}}, {{T}}.},
  author       = {Trieu, Tashi},
  year         = 2015,
}
@misc{VincentJ2017,
  title        = {Is There Any Numpy Group by Function?},
  author       = {{Vincent J}},
  year         = 2017,
  urldate      = {2023-06-30},
  howpublished = {https://stackoverflow.com/a/43094244},
}
@misc{W3C2022,
  title        = {{{CSS Color Module Level}} 3},
  author       = {{W3C}},
  year         = 2022,
}
@article{Ward2002,
  title        = {Picture {{Perfect RGB Rendering Using Spectral
    Prefiltering}} and {{Sharp Color Primaries}}},
  author       = {Ward, Greg and {Eydelberg-Vileshin}, Elena},
  year         = 2002,
  journal      = {Eurographics workshop on Rendering},
  pages        = {117--124},
  publisher    = {Eurographics Association},
  doi          = {10.2312/EGWR/EGWR02/117-124},
  urldate      = {2014-09-27},
  abstract     = {Abstract Accurate color requires the consideration
    of many samples over the visible , and advanced tools developed by
    the research community offer multispectral sampling towards this
    goal. However, for practical reasons including efficiency, white},
}
@misc{Ward2016,
  title        = {Private {{Discussion}} with {{Mansencal}}, {{T}}.},
  author       = {Ward, Greg},
  year         = 2016,
}
@article{Watson2012,
  title        = {A Unified Formula for Light-Adapted Pupil Size},
  author       = {Watson, Andrew B. and Yellott, John I.},
  year         = 2012,
  month        = sep,
  journal      = {Journal of Vision},
  volume       = 12,
  number       = 10,
  pages        = 12,
  issn         = {1534-7362},
  doi          = {10.1167/12.10.12},
  urldate      = {2022-08-07},
  langid       = {english},
}
@incollection{Westland2004,
  title        = {Table 8.2},
  booktitle    = {Computational {{Colour Science Using MATLAB}}},
  author       = {Westland, Stephen and Ripamonti, Caterina},
  year         = 2004,
  month        = mar,
  edition      = 1,
  pages        = 137,
  publisher    = {John Wiley \& Sons, Ltd},
  address      = {Chichester, UK},
  doi          = {10.1002/0470020326},
  isbn         = {978-0-470-84562-2},
}
@incollection{Westland2012f,
  title        = {Correction for {{Spectral Bandpass}}},
  booktitle    = {Computational {{Colour Science Using MATLAB}}},
  author       = {Westland, Stephen and Ripamonti, Caterina and
    Cheung, Vien},
  year         = 2012,
  edition      = 2,
  pages        = 38,
  isbn         = {978-0-470-66569-5},
}
@incollection{Westland2012g,
  title        = {{{CMCCAT97}}},
  booktitle    = {Computational {{Colour Science Using MATLAB}}},
  author       = {Westland, Stephen and Ripamonti, Caterina and
    Cheung, Vien},
  year         = 2012,
  edition      = 2,
  pages        = 80,
  isbn         = {978-0-470-66569-5},
}
@incollection{Westland2012h,
  title        = {Interpolation {{Methods}}},
  booktitle    = {Computational {{Colour Science Using MATLAB}}},
  author       = {Westland, Stephen and Ripamonti, Caterina and
    Cheung, Vien},
  year         = 2012,
  edition      = 2,
  pages        = {29--37},
  isbn         = {978-0-470-66569-5},
}
@incollection{Westland2012i,
  title        = {Extrapolation {{Methods}}},
  booktitle    = {Computational {{Colour Science Using MATLAB}}},
  author       = {Westland, Stephen and Ripamonti, Caterina and
    Cheung, Vien},
  year         = 2012,
  edition      = 2,
  pages        = 38,
  isbn         = {978-0-470-66569-5},
}
@incollection{Westland2012k,
  title        = {{{CMCCAT2000}}},
  booktitle    = {Computational {{Colour Science Using MATLAB}}},
  author       = {Westland, Stephen and Ripamonti, Caterina and
    Cheung, Vien},
  year         = 2012,
  edition      = 2,
  pages        = {83--86},
  isbn         = {978-0-470-66569-5},
}
@misc{Wikipedia,
  title        = {Ellipse},
  author       = {{Wikipedia}},
  urldate      = {2018-11-24},
  howpublished = {https://en.wikipedia.org/wiki/Ellipse},
}
@misc{Wikipedia2001,
  title        = {Approximation},
  author       = {{Wikipedia}},
  year         = 2001,
  urldate      = {2014-06-28},
  howpublished = {http://en.wikipedia.org/wiki/Color\_temperature\#Approximation},
}
@misc{Wikipedia2001a,
  title        = {Color Temperature},
  author       = {{Wikipedia}},
  year         = 2001,
  urldate      = {2014-06-28},
  howpublished = {http://en.wikipedia.org/wiki/Color\_temperature},
}
@misc{Wikipedia2001b,
  title        = {Luminance},
  author       = {{Wikipedia}},
  year         = 2001,
  urldate      = {2018-02-10},
  howpublished = {https://en.wikipedia.org/wiki/Luminance},
}
@misc{Wikipedia2001c,
  title        = {Rayleigh Scattering},
  author       = {{Wikipedia}},
  year         = 2001,
  urldate      = {2014-09-23},
  howpublished = {http://en.wikipedia.org/wiki/Rayleigh\_scattering},
}
@misc{Wikipedia2003,
  title        = {{{HSL}} and {{HSV}}},
  author       = {{Wikipedia}},
  year         = 2003,
  urldate      = {2014-09-10},
  howpublished = {http://en.wikipedia.org/wiki/HSL\_and\_HSV},
}
@misc{Wikipedia2003a,
  title        = {Lagrange Polynomial - {{Definition}}},
  author       = {{Wikipedia}},
  year         = 2003,
  urldate      = {2016-01-20},
  howpublished = {https://en.wikipedia.org/wiki/Lagrange\_polynomial\#Definition},
}
@misc{Wikipedia2003b,
  title        = {Luminosity Function},
  author       = {{Wikipedia}},
  year         = 2003,
  urldate      = {2014-10-20},
  howpublished = {https://en.wikipedia.org/wiki/Luminosity\_function\#Details},
}
@misc{Wikipedia2003c,
  title        = {Mean Squared Error},
  author       = {{Wikipedia}},
  year         = 2003,
  urldate      = {2018-03-05},
  howpublished = {https://en.wikipedia.org/wiki/Mean\_squared\_error},
}
@misc{Wikipedia2003d,
  title        = {Michaelis-{{Menten}} Kinetics},
  author       = {{Wikipedia}},
  year         = 2003,
  urldate      = {2017-04-29},
  howpublished = {https://en.wikipedia.org/wiki/Michaelis\%E2\%80\%93Menten\_kinetics},
}
@misc{Wikipedia2003e,
  title        = {Vandermonde Matrix},
  author       = {{Wikipedia}},
  year         = 2003,
  urldate      = {2018-05-02},
  howpublished = {https://en.wikipedia.org/wiki/Vandermonde\_matrix},
}
@misc{Wikipedia2003f,
  title        = {Rayleigh--{{Jeans}} Law},
  author       = {{Wikipedia}},
  year         = 2003,
  urldate      = {2022-02-12},
  howpublished = {https://en.wikipedia.org/wiki/Rayleigh--Jeans\_law},
}
@misc{Wikipedia2004,
  title        = {Peak Signal-to-Noise Ratio},
  author       = {{Wikipedia}},
  year         = 2004,
  urldate      = {2018-03-05},
  howpublished = {https://en.wikipedia.org/wiki/Peak\_signal-to-noise\_ratio},
}
@misc{Wikipedia2004a,
  title        = {Surfaces},
  author       = {{Wikipedia}},
  year         = 2004,
  urldate      = {2014-09-10},
  howpublished = {http://en.wikipedia.org/wiki/Gamut\#Surfaces},
}
@misc{Wikipedia2004b,
  title        = {Whiteness},
  author       = {{Wikipedia}},
  year         = 2004,
  urldate      = {2014-09-17},
  howpublished = {http://en.wikipedia.org/wiki/Whiteness},
}
@misc{Wikipedia2004c,
  title        = {Wide-Gamut {{RGB}} Color Space},
  author       = {{Wikipedia}},
  year         = 2004,
  urldate      = {2014-04-13},
  howpublished = {http://en.wikipedia.org/wiki/Wide-gamut\_RGB\_color\_space},
}
@misc{Wikipedia2004d,
  title        = {{{YCbCr}}},
  author       = {{Wikipedia}},
  year         = 2004,
  urldate      = {2016-02-29},
  howpublished = {https://en.wikipedia.org/wiki/YCbCr},
}
@misc{Wikipedia2005,
  title        = {{{CIE}} 1931 Color Space},
  author       = {{Wikipedia}},
  year         = 2005,
  urldate      = {2014-02-24},
  howpublished = {http://en.wikipedia.org/wiki/CIE\_1931\_color\_space},
}
@misc{Wikipedia2005a,
  title        = {{{ISO}} 31-11},
  author       = {{Wikipedia}},
  year         = 2005,
  urldate      = {2016-07-31},
  howpublished = {https://en.wikipedia.org/wiki/ISO\_31-11},
}
@misc{Wikipedia2005b,
  title        = {Lanczos Resampling},
  author       = {{Wikipedia}},
  year         = 2005,
  urldate      = {2017-10-14},
  howpublished = {https://en.wikipedia.org/wiki/Lanczos\_resampling},
}
@misc{Wikipedia2005c,
  title        = {Luminous {{Efficacy}}},
  author       = {{Wikipedia}},
  year         = 2005,
  urldate      = {2016-04-03},
  howpublished = {https://en.wikipedia.org/wiki/Luminous\_efficacy},
}
@misc{Wikipedia2005d,
  title        = {Mesopic Weighting Function},
  author       = {{Wikipedia}},
  year         = 2005,
  urldate      = {2014-06-20},
  howpublished = {http://en.wikipedia.org/wiki/Mesopic\_vision\#Mesopic\_weighting\_function},
}
@misc{Wikipedia2006,
  title        = {List of Common Coordinate Transformations},
  author       = {{Wikipedia}},
  year         = 2006,
  urldate      = {2014-07-18},
  howpublished = {http://en.wikipedia.org/wiki/List\_of\_common\_coordinate\_transformations},
}
@misc{Wikipedia2006a,
  title        = {White Points of Standard Illuminants},
  author       = {{Wikipedia}},
  year         = 2006,
  urldate      = {2014-02-24},
  howpublished = {http://en.wikipedia.org/wiki/Standard\_illuminant\#White\_points\_of\_standard\_illuminants},
}
@misc{Wikipedia2007,
  title        = {{{CAT02}}},
  author       = {{Wikipedia}},
  year         = 2007,
  urldate      = {2014-02-24},
  howpublished = {http://en.wikipedia.org/wiki/CIECAM02\#CAT02},
}
@misc{Wikipedia2007a,
  title        = {{{CIECAM02}}},
  author       = {{Wikipedia}},
  year         = 2007,
  urldate      = {2014-08-14},
  howpublished = {http://en.wikipedia.org/wiki/CIECAM02},
}
@misc{Wikipedia2007b,
  title        = {{{CIELUV}}},
  author       = {{Wikipedia}},
  year         = 2007,
  urldate      = {2014-02-24},
  howpublished = {http://en.wikipedia.org/wiki/CIELUV},
}
@misc{Wikipedia2007c,
  title        = {Lightness},
  author       = {{Wikipedia}},
  year         = 2007,
  urldate      = {2014-04-13},
  howpublished = {http://en.wikipedia.org/wiki/Lightness},
}
@misc{Wikipedia2007d,
  title        = {The Reverse Transformation},
  author       = {{Wikipedia}},
  year         = 2007,
  urldate      = {2014-02-24},
  howpublished = {http://en.wikipedia.org/wiki/CIELUV\#The\_reverse\_transformation},
}
@misc{Wikipedia2008,
  title        = {{{CIE}} 1960 Color Space},
  author       = {{Wikipedia}},
  year         = 2008,
  urldate      = {2014-02-24},
  howpublished = {http://en.wikipedia.org/wiki/CIE\_1960\_color\_space},
}
@misc{Wikipedia2008a,
  title        = {{{CIE}} 1964 Color Space},
  author       = {{Wikipedia}},
  year         = 2008,
  urldate      = {2014-06-10},
  howpublished = {http://en.wikipedia.org/wiki/CIE\_1964\_color\_space},
}
@misc{Wikipedia2008b,
  title        = {Color Difference},
  author       = {{Wikipedia}},
  year         = 2008,
  urldate      = {2014-08-29},
  howpublished = {http://en.wikipedia.org/wiki/Color\_difference},
}
@misc{Wikipedia2008c,
  title        = {Relation to {{CIE XYZ}}},
  author       = {{Wikipedia}},
  year         = 2008,
  urldate      = {2014-02-24},
  howpublished = {http://en.wikipedia.org/wiki/CIE\_1960\_color\_space\#Relation\_to\_CIE\_XYZ},
}
@misc{Wikipedia2015,
  title        = {{{HCL}} Color Space},
  author       = {{Wikipedia}},
  year         = 2015,
  urldate      = {2021-04-04},
  howpublished = {https://en.wikipedia.org/wiki/HCL\_color\_space},
}
@misc{Wood2014,
  title        = {Making the Same Color Twice - {{A}} Proposed
    {{PLASA}} Standard for Color Communication},
  author       = {Wood, Mike},
  year         = 2014,
  urldate      = {2023-08-13},
}
@article{Wyszecki1963b,
  title        = {Proposal for a {{New Color-Difference Formula}}},
  author       = {Wyszecki, G{\"u}nter},
  year         = 1963,
  month        = nov,
  journal      = {Journal of the Optical Society of America},
  volume       = 53,
  number       = 11,
  pages        = 1318,
  publisher    = {OSA},
  issn         = {0030-3941},
  doi          = {10.1364/JOSA.53.001318},
  urldate      = {2014-09-26},
}
@incollection{Wyszecki2000,
  title        = {Table 2(5.4.1) {{MacAdam Ellipses}} ({{Observer
    PGN}}) {{Observed}} and {{Calculated}} on the {{Basis}} of a
    {{Normal Distribution}} of {{Color Matches}} about a {{Color
    Center}} ({{Silberstein}} and {{MacAdam}}, 1945)},
  booktitle    = {Color {{Science}}: {{Concepts}} and {{Methods}},
    {{Quantitative Data}} and {{Formulae}}},
  author       = {Wyszecki, G{\"u}nther and Stiles, W S},
  year         = 2000,
  pages        = 309,
  publisher    = {Wiley},
  isbn         = {978-0-471-39918-6},
}
@incollection{Wyszecki2000a,
  title        = {Equation {{I}}(1.2.1)},
  booktitle    = {Color {{Science}}: {{Concepts}} and {{Methods}},
    {{Quantitative Data}} and {{Formulae}}},
  author       = {Wyszecki, G{\"u}nther and Stiles, W S},
  year         = 2000,
  pages        = 8,
  publisher    = {Wiley},
  isbn         = {978-0-471-39918-6},
}
@incollection{Wyszecki2000ba,
  title        = {Table {{I}}(6.5.3) {{Whiteness Formulae}}
    ({{Whiteness Measure Denoted}} by {{W}})},
  booktitle    = {Color {{Science}}: {{Concepts}} and {{Methods}},
    {{Quantitative Data}} and {{Formulae}}},
  author       = {Wyszecki, G{\"u}nther and Stiles, W. S.},
  year         = 2000,
  pages        = {837--839},
  publisher    = {Wiley},
  isbn         = {978-0-471-39918-6},
}
@incollection{Wyszecki2000bb,
  title        = {Table {{I}}(3.7)},
  booktitle    = {Color {{Science}}: {{Concepts}} and {{Methods}},
    {{Quantitative Data}} and {{Formulae}}},
  author       = {Wyszecki, G{\"u}nther and Stiles, W. S.},
  year         = 2000,
  pages        = {776--777},
  publisher    = {Wiley},
  isbn         = {978-0-471-39918-6},
}
@incollection{Wyszecki2000bd,
  title        = {{{CIE}} 1976 ({{L}}*u*v*)-{{Space}} and
    {{Color-Difference Formula}}},
  booktitle    = {Color {{Science}}: {{Concepts}} and {{Methods}},
    {{Quantitative Data}} and {{Formulae}}},
  author       = {Wyszecki, G{\"u}nther and Stiles, W. S.},
  year         = 2000,
  pages        = 167,
  publisher    = {Wiley},
  isbn         = {978-0-471-39918-6},
}
@incollection{Wyszecki2000be,
  title        = {The {{CIE}} 1964 {{Standard Observer}}},
  booktitle    = {Color {{Science}}: {{Concepts}} and {{Methods}},
    {{Quantitative Data}} and {{Formulae}}},
  author       = {Wyszecki, G{\"u}nther and Stiles, W. S.},
  year         = 2000,
  pages        = 141,
  publisher    = {Wiley},
  isbn         = {978-0-471-39918-6},
}
@incollection{Wyszecki2000bf,
  title        = {Integration {{Replaced}} by {{Summation}}},
  booktitle    = {Color {{Science}}: {{Concepts}} and {{Methods}},
    {{Quantitative Data}} and {{Formulae}}},
  author       = {Wyszecki, G{\"u}nther and Stiles, W. S.},
  year         = 2000,
  pages        = {158--163},
  publisher    = {Wiley},
  isbn         = {978-0-471-39918-6},
}
@incollection{Wyszecki2000bg,
  title        = {Table 1(3.3.3)},
  booktitle    = {Color {{Science}}: {{Concepts}} and {{Methods}},
    {{Quantitative Data}} and {{Formulae}}},
  author       = {Wyszecki, G{\"u}nther and Stiles, W. S.},
  year         = 2000,
  pages        = {138--139},
  publisher    = {Wiley},
  isbn         = {978-0-471-39918-6},
}
@incollection{Wyszecki2000bh,
  title        = {Table {{II}}(3.7)},
  booktitle    = {Color {{Science}}: {{Concepts}} and {{Methods}},
    {{Quantitative Data}} and {{Formulae}}},
  author       = {Wyszecki, G{\"u}nther and Stiles, W. S.},
  year         = 2000,
  pages        = {778--779},
  publisher    = {Wiley},
  isbn         = {978-0-471-39918-6},
}
@incollection{Wyszecki2000s,
  title        = {Standard {{Photometric Observers}}},
  booktitle    = {Color {{Science}}: {{Concepts}} and {{Methods}},
    {{Quantitative Data}} and {{Formulae}}},
  author       = {Wyszecki, G{\"u}nther and Stiles, W. S.},
  year         = 2000,
  pages        = {256--259,395},
  publisher    = {Wiley},
  isbn         = {978-0-471-39918-6},
}
@incollection{Wyszecki2000x,
  title        = {Table 1(3.11) {{Isotemperature Lines}}},
  booktitle    = {Color {{Science}}: {{Concepts}} and {{Methods}},
    {{Quantitative Data}} and {{Formulae}}},
  author       = {Wyszecki, G{\"u}nther and Stiles, W. S.},
  year         = 2000,
  pages        = 228,
  publisher    = {Wiley},
  isbn         = {978-0-471-39918-6},
}
@incollection{Wyszecki2000y,
  title        = {{{DISTRIBUTION TEMPERATURE}}, {{COLOR TEMPERATURE}},
    {{AND CORRELATED COLOR TEMPERATURE}}},
  booktitle    = {Color {{Science}}: {{Concepts}} and {{Methods}},
    {{Quantitative Data}} and {{Formulae}}},
  author       = {Wyszecki, G{\"u}nther and Stiles, W. S.},
  year         = 2000,
  pages        = {224--229},
  publisher    = {Wiley},
  isbn         = {978-0-471-39918-6},
}
@incollection{Wyszecki2000z,
  title        = {{{CIE Method}} of {{Calculating D-Illuminants}}},
  booktitle    = {Color {{Science}}: {{Concepts}} and {{Methods}},
    {{Quantitative Data}} and {{Formulae}}},
  author       = {Wyszecki, G{\"u}nther and Stiles, W. S.},
  year         = 2000,
  pages        = {145--146},
  publisher    = {Wiley},
  isbn         = {978-0-471-39918-6},
}
@misc{X-Rite2012a,
  title        = {Color {{iQC}} and {{Color iMatch Color Calculations
    Guide}}},
  author       = {{X-Rite} and {Pantone}},
  year         = 2012,
}
@misc{X-Rite2016,
  title        = {New Color Specifications for {{ColorChecker SG}} and
    {{Classic Charts}}},
  author       = {{X-Rite}},
  year         = 2016,
  urldate      = {2018-10-29},
  howpublished = {http://xritephoto.com/ph\_product\_overview.aspx?ID=938\&Action=Support\&SupportID=5884\#},
}
@misc{Yorke2014a,
  title        = {Python: {{Change}} Format of Np.Array or Allow
    Tolerance in In1d Function},
  author       = {Yorke, Rory},
  year         = 2014,
  urldate      = {2015-03-27},
  howpublished = {http://stackoverflow.com/a/23521245/931625},
}
@article{Zhai2018,
  title        = {Study of Chromatic Adaptation via Neutral White
    Matches on Different Viewing Media},
  author       = {Zhai, Qiyan and Luo, Ming R.},
  year         = 2018,
  month        = mar,
  journal      = {Optics Express},
  volume       = 26,
  number       = 6,
  pages        = 7724,
  issn         = {1094-4087},
  doi          = {10.1364/OE.26.007724},
  urldate      = {2021-07-29},
  langid       = {english},
}