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Approximate Discrete Radon Transform

adrt on PyPI adrt on conda-forge Documentation Tests JOSS Paper

Fast approximate discrete Radon transform for NumPy arrays.

This library provides an implementation of an approximate discrete Radon transform (ADRT) and related routines as a Python module operating on NumPy arrays. Implemented routines include: the forward ADRT, a back-projection operation, and several inverse transforms. The package documentation contains usage examples, and sample applications.

Installation

Install from PyPI using pip:

$ python -m pip install adrt

or from conda-forge:

$ conda install -c conda-forge adrt

For further details on installation or building from source, consult the documentation.

Citation

If you use this software in your research, please cite our associated JOSS paper.

@article{adrt,
  title={adrt: approximate discrete {R}adon transform for {P}ython},
  author={Karl Otness and Donsub Rim},
  journal={Journal of Open Source Software},
  publisher={The Open Journal},
  year=2023,
  doi={10.21105/joss.05083},
  url={https://doi.org/10.21105/joss.05083},
  volume=8,
  number=83,
  pages=5083,
}

References

This implementation is based on descriptions in several publications:

License

This software is distributed under the 3-clause BSD license. See LICENSE.txt for the license text.

We also make available several pre-built binary copies of this software. The binary build for Windows includes additional license terms for runtime code included as part of the software. Review the LICENSE.txt file in the binary build package for more information.