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Fixed bug with rounding pixels to palette colors #6377

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merged 5 commits into from Jun 22, 2022
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Binary file modified Tests/images/palette_negative.png
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Binary file modified Tests/images/palette_sepia.png
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2 changes: 1 addition & 1 deletion Tests/test_image_entropy.py
Expand Up @@ -9,7 +9,7 @@ def entropy(mode):
assert round(abs(entropy("L") - 7.063008716585465), 7) == 0
assert round(abs(entropy("I") - 7.063008716585465), 7) == 0
assert round(abs(entropy("F") - 7.063008716585465), 7) == 0
assert round(abs(entropy("P") - 5.0530452472519745), 7) == 0
assert round(abs(entropy("P") - 5.082506854662517), 7) == 0
assert round(abs(entropy("RGB") - 8.821286587714319), 7) == 0
assert round(abs(entropy("RGBA") - 7.42724306524488), 7) == 0
assert round(abs(entropy("CMYK") - 7.4272430652448795), 7) == 0
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2 changes: 1 addition & 1 deletion Tests/test_image_getcolors.py
Expand Up @@ -16,7 +16,7 @@ def getcolors(mode, limit=None):
assert getcolors("L") == 255
assert getcolors("I") == 255
assert getcolors("F") == 255
assert getcolors("P") == 90 # fixed palette
assert getcolors("P") == 96 # fixed palette
assert getcolors("RGB") is None
assert getcolors("RGBA") is None
assert getcolors("CMYK") is None
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2 changes: 1 addition & 1 deletion Tests/test_image_histogram.py
Expand Up @@ -10,7 +10,7 @@ def histogram(mode):
assert histogram("L") == (256, 0, 662)
assert histogram("I") == (256, 0, 662)
assert histogram("F") == (256, 0, 662)
assert histogram("P") == (256, 0, 1871)
assert histogram("P") == (256, 0, 1551)
assert histogram("RGB") == (768, 4, 675)
assert histogram("RGBA") == (1024, 0, 16384)
assert histogram("CMYK") == (1024, 0, 16384)
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16 changes: 16 additions & 0 deletions Tests/test_image_quantize.py
Expand Up @@ -65,6 +65,22 @@ def test_quantize_no_dither():
assert converted.palette.palette == palette.palette.palette


def test_quantize_no_dither2():
im = Image.new("RGB", (9, 1))
im.putdata(list((p,) * 3 for p in range(0, 36, 4)))

palette = Image.new("P", (1, 1))
data = (0, 0, 0, 32, 32, 32)
palette.putpalette(data)
quantized = im.quantize(dither=Image.Dither.NONE, palette=palette)

assert tuple(quantized.palette.palette) == data

px = quantized.load()
for x in range(9):
assert px[x, 0] == (0 if x < 5 else 1)


def test_quantize_dither_diff():
image = hopper()
with Image.open("Tests/images/caption_6_33_22.png") as palette:
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6 changes: 3 additions & 3 deletions src/libImaging/Palette.c
Expand Up @@ -200,15 +200,15 @@ ImagingPaletteCacheUpdate(ImagingPalette palette, int r, int g, int b) {

/* Find min and max distances to any point in the box */
r = palette->palette[i * 4 + 0];
tmin = (r < r0) ? RDIST(r, r1) : (r > r1) ? RDIST(r, r0) : 0;
tmin = (r < r0) ? RDIST(r, r0) : (r > r1) ? RDIST(r, r1) : 0;
tmax = (r <= rc) ? RDIST(r, r1) : RDIST(r, r0);

g = palette->palette[i * 4 + 1];
tmin += (g < g0) ? GDIST(g, g1) : (g > g1) ? GDIST(g, g0) : 0;
tmin += (g < g0) ? GDIST(g, g0) : (g > g1) ? GDIST(g, g1) : 0;
tmax += (g <= gc) ? GDIST(g, g1) : GDIST(g, g0);

b = palette->palette[i * 4 + 2];
tmin += (b < b0) ? BDIST(b, b1) : (b > b1) ? BDIST(b, b0) : 0;
tmin += (b < b0) ? BDIST(b, b0) : (b > b1) ? BDIST(b, b1) : 0;
tmax += (b <= bc) ? BDIST(b, b1) : BDIST(b, b0);

dmin[i] = tmin;
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