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Map DHGR colours to RGB values (for now using the BMP2DHR default

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NTSC palette), and compute the matrix of pairwise perceptual
differences between these colours, using CIE2000 delta values.
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kris 2019-06-12 22:14:11 +01:00
parent cb287ea0e7
commit b33b730bfa
1 changed files with 45 additions and 0 deletions
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import colormath.color_objects
import colormath.color_diff
import colormath.color_conversions
import numpy as np
from colours import DHGRColours
def rgb(r, g, b):
return colormath.color_objects.sRGBColor(r, g, b, is_upscaled=True)
# Palette RGB values taken from BMP2DHGR's default NTSC palette
# TODO: support other palettes as well, e.g. //gs RGB
palette = {
DHGRColours.BLACK: rgb(0, 0, 0),
DHGRColours.MAGENTA: rgb(148, 12, 125),
DHGRColours.BROWN: rgb(99, 77, 0),
DHGRColours.ORANGE: rgb(249, 86, 29),
DHGRColours.DARK_GREEN: rgb(51, 111, 0),
DHGRColours.GREY1: rgb(126, 126, 126),
DHGRColours.GREEN: rgb(67, 200, 0),
DHGRColours.YELLOW: rgb(221, 206, 23),
DHGRColours.DARK_BLUE: rgb(32, 54, 212),
DHGRColours.VIOLET: rgb(188, 55, 255),
DHGRColours.GREY2: rgb(126, 126, 126),
DHGRColours.PINK: rgb(255, 129, 236),
DHGRColours.MED_BLUE: rgb(7, 168, 225),
DHGRColours.LIGHT_BLUE: rgb(158, 172, 255),
DHGRColours.AQUA: rgb(93, 248, 133),
DHGRColours.WHITE: rgb(255, 255, 255)
}
# Compute matrix of CIE2000 delta values for this palette, representing
# perceptual distance between colours.
diff_matrix = np.ndarray(shape=(16, 16), dtype=np.int)
for colour1, a in palette.items():
alab = colormath.color_conversions.convert_color(
a, colormath.color_objects.LabColor)
for colour2, b in palette.items():
blab = colormath.color_conversions.convert_color(
b, colormath.color_objects.LabColor)
diff_matrix[colour1.value, colour2.value] = int(
colormath.color_diff.delta_e_cie2000(alab, blab))