# -*- coding: utf-8 -*-
"""
Sub-module providing color functions.
References,
- https://en.wikipedia.org/wiki/Color_difference
- http://www.easyrgb.com/en/math.php
- Measuring Colour by R.W.G. Hunt and M.R. Pointer
"""
# std imports
from math import cos, exp, sin, sqrt, atan2
# isort: off
try:
from functools import lru_cache
except ImportError:
# lru_cache was added in Python 3.2
from backports.functools_lru_cache import lru_cache
[docs]
def rgb_to_xyz(red, green, blue):
"""
Convert standard RGB color to XYZ color.
D65/2° standard illuminant.
:arg int red: RGB value of Red.
:arg int green: RGB value of Green.
:arg int blue: RGB value of Blue.
:returns: Tuple (X, Y, Z) representing XYZ color
:rtype: tuple
"""
rgb = []
for val in red, green, blue:
val /= 255.0
if val > 0.04045:
val = pow((val + 0.055) / 1.055, 2.4)
else:
val /= 12.92
val *= 100
rgb.append(val)
red, green, blue = rgb # pylint: disable=unbalanced-tuple-unpacking
x_val = red * 0.4124 + green * 0.3576 + blue * 0.1805
y_val = red * 0.2126 + green * 0.7152 + blue * 0.0722
z_val = red * 0.0193 + green * 0.1192 + blue * 0.9505
return x_val, y_val, z_val
[docs]
def xyz_to_lab(x_val, y_val, z_val):
"""
Convert XYZ color to CIE-Lab color.
:arg float x_val: XYZ value of X.
:arg float y_val: XYZ value of Y.
:arg float z_val: XYZ value of Z.
:returns: Tuple (L, a, b) representing CIE-Lab color
:rtype: tuple D65/2° standard illuminant
"""
xyz = []
for val, ref in (x_val, 95.047), (y_val, 100.0), (z_val, 108.883):
val /= ref
val = pow(val, 1 / 3.0) if val > 0.008856 else 7.787 * val + 16 / 116.0
xyz.append(val)
x_val, y_val, z_val = xyz # pylint: disable=unbalanced-tuple-unpacking
cie_l = 116 * y_val - 16
cie_a = 500 * (x_val - y_val)
cie_b = 200 * (y_val - z_val)
return cie_l, cie_a, cie_b
[docs]
@lru_cache(maxsize=256)
def rgb_to_lab(red, green, blue):
"""
Convert RGB color to CIE-Lab color.
:arg int red: RGB value of Red.
:arg int green: RGB value of Green.
:arg int blue: RGB value of Blue.
:returns: Tuple (L, a, b) representing CIE-Lab color
:rtype: tuple D65/2° standard illuminant
"""
return xyz_to_lab(*rgb_to_xyz(red, green, blue))
[docs]
def dist_rgb(rgb1, rgb2):
"""
Determine distance between two rgb colors.
:arg tuple rgb1: RGB color definition
:arg tuple rgb2: RGB color definition
:returns: Square of the distance between provided colors
:rtype: float
This works by treating RGB colors as coordinates in three dimensional
space and finding the closest point within the configured color range
using the formula::
d^2 = (r2 - r1)^2 + (g2 - g1)^2 + (b2 - b1)^2
For efficiency, the square of the distance is returned
which is sufficient for comparisons
"""
return sum(pow(rgb1[idx] - rgb2[idx], 2) for idx in (0, 1, 2))
[docs]
def dist_rgb_weighted(rgb1, rgb2):
"""
Determine the weighted distance between two rgb colors.
:arg tuple rgb1: RGB color definition
:arg tuple rgb2: RGB color definition
:returns: Square of the distance between provided colors
:rtype: float Similar to a standard distance formula, the values are weighted to approximate
human perception of color differences For efficiency, the square of the distance is returned
which is sufficient for comparisons
"""
red_mean = (rgb1[0] + rgb2[0]) / 2.0
return ((2 + red_mean / 256) * pow(rgb1[0] - rgb2[0], 2) +
4 * pow(rgb1[1] - rgb2[1], 2) +
(2 + (255 - red_mean) / 256) * pow(rgb1[2] - rgb2[2], 2))
[docs]
def dist_cie76(rgb1, rgb2):
"""
Determine distance between two rgb colors using the CIE94 algorithm.
:arg tuple rgb1: RGB color definition
:arg tuple rgb2: RGB color definition
:returns: Square of the distance between provided colors
:rtype: float For efficiency, the square of the distance is returned which is sufficient for
comparisons
"""
l_1, a_1, b_1 = rgb_to_lab(*rgb1)
l_2, a_2, b_2 = rgb_to_lab(*rgb2)
return pow(l_1 - l_2, 2) + pow(a_1 - a_2, 2) + pow(b_1 - b_2, 2)
[docs]
def dist_cie94(rgb1, rgb2):
# pylint: disable=too-many-locals
"""
Determine distance between two rgb colors using the CIE94 algorithm.
:arg tuple rgb1: RGB color definition
:arg tuple rgb2: RGB color definition
:returns: Square of the distance between provided colors
:rtype: float For efficiency, the square of the distance is returned which is sufficient for
comparisons
"""
l_1, a_1, b_1 = rgb_to_lab(*rgb1)
l_2, a_2, b_2 = rgb_to_lab(*rgb2)
s_l = k_l = k_c = k_h = 1
k_1 = 0.045
k_2 = 0.015
delta_l = l_1 - l_2
delta_a = a_1 - a_2
delta_b = b_1 - b_2
c_1 = sqrt(a_1 ** 2 + b_1 ** 2)
c_2 = sqrt(a_2 ** 2 + b_2 ** 2)
delta_c = c_1 - c_2
delta_h = sqrt(delta_a ** 2 + delta_b ** 2 + delta_c ** 2)
s_c = 1 + k_1 * c_1
s_h = 1 + k_2 * c_1
return ((delta_l / (k_l * s_l)) ** 2 + # pylint: disable=superfluous-parens
(delta_c / (k_c * s_c)) ** 2 +
(delta_h / (k_h * s_h)) ** 2)
[docs]
def dist_cie2000(rgb1, rgb2):
# pylint: disable=too-many-locals
"""
Determine distance between two rgb colors using the CIE2000 algorithm.
:arg tuple rgb1: RGB color definition
:arg tuple rgb2: RGB color definition
:returns: Square of the distance between provided colors
:rtype: float For efficiency, the square of the distance is returned which is sufficient for
comparisons
"""
s_l = k_l = k_c = k_h = 1
l_1, a_1, b_1 = rgb_to_lab(*rgb1)
l_2, a_2, b_2 = rgb_to_lab(*rgb2)
delta_l = l_2 - l_1
l_mean = (l_1 + l_2) / 2
c_1 = sqrt(a_1 ** 2 + b_1 ** 2)
c_2 = sqrt(a_2 ** 2 + b_2 ** 2)
c_mean = (c_1 + c_2) / 2
delta_c = c_1 - c_2
g_x = sqrt(c_mean ** 7 / (c_mean ** 7 + 25 ** 7))
h_1 = atan2(b_1, a_1 + (a_1 / 2) * (1 - g_x)) % 360
h_2 = atan2(b_2, a_2 + (a_2 / 2) * (1 - g_x)) % 360
if 0 in (c_1, c_2):
delta_h_prime = 0
h_mean = h_1 + h_2
else:
delta_h_prime = h_2 - h_1
if abs(delta_h_prime) <= 180:
h_mean = (h_1 + h_2) / 2
else:
if h_2 <= h_1:
delta_h_prime += 360
else:
delta_h_prime -= 360
h_mean = (h_1 + h_2 + 360) / 2 if h_1 + h_2 < 360 else (h_1 + h_2 - 360) / 2
delta_h = 2 * sqrt(c_1 * c_2) * sin(delta_h_prime / 2)
t_x = (1 -
0.17 * cos(h_mean - 30) +
0.24 * cos(2 * h_mean) +
0.32 * cos(3 * h_mean + 6) -
0.20 * cos(4 * h_mean - 63))
s_l = 1 + (0.015 * (l_mean - 50) ** 2) / sqrt(20 + (l_mean - 50) ** 2)
s_c = 1 + 0.045 * c_mean
s_h = 1 + 0.015 * c_mean * t_x
r_t = -2 * g_x * sin(abs(60 * exp(-1 * abs((delta_h - 275) / 25) ** 2)))
delta_l = delta_l / (k_l * s_l)
delta_c = delta_c / (k_c * s_c)
delta_h = delta_h / (k_h * s_h)
return delta_l ** 2 + delta_c ** 2 + delta_h ** 2 + r_t * delta_c * delta_h
COLOR_DISTANCE_ALGORITHMS = {'rgb': dist_rgb,
'rgb-weighted': dist_rgb_weighted,
'cie76': dist_cie76,
'cie94': dist_cie94,
'cie2000': dist_cie2000}