GitHub - colour-science/colour: Colour Science for Python * GitHub

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Colour is an open-source Python package providing a comprehensive number of algorithms and datasets for colour science.

It is freely available under the BSD-3-Clause terms.

Colour is an affiliated project of NumFOCUS, a 501(c)(3) nonprofit in the United States.

Table of Contents

1 Draft Release Notes
2 Sponsors
3 Features
- 3.1 Automatic Colour Conversion Graph - colour.graph
- 3.2 Chromatic Adaptation - colour.adaptation
- 3.3 Algebra - colour.algebra
- 3.4 Colour Appearance Models - colour.appearance
- 3.5 Colour Blindness - colour.blindness
- 3.6 Colour Correction - colour characterisation
- 3.7 ACES Input Transform - colour characterisation
- 3.8 Colorimetry - colour.colorimetry
- 3.9 Contrast Sensitivity Function - colour.contrast
- 3.10 Colour Difference - colour.difference
- 3.11 IO - colour.io
- 3.12 Colour Models - colour.models
- 3.13 Colour Notation Systems - colour.notation
- 3.14 Optical Phenomena - colour.phenomena
- 3.15 Light Quality - colour.quality
- 3.16 Spectral Up-Sampling & Recovery - colour.recovery
- 3.17 Correlated Colour Temperature Computation Methods - colour.temperature
- 3.18 Colour Volume - colour.volume
- 3.19 Geometry Primitives Generation - colour.geometry
- 3.20 Plotting - colour.plotting
4 User Guide
- 4.1 Installation
- 4.2 Tutorial
- 4.3 How-To
- 4.4 Contributing
- 4.5 Changes
- 4.6 Bibliography
5 API Reference
6 See Also
- 6.1 Software
7 Code of Conduct
8 Contact & Social
9 Thank You!
10 About

1 Draft Release Notes

The draft release notes of the develop branch are available at this url.

2 Sponsors

We are grateful for the support of our sponsors. If you'd like to join them, please consider becoming a sponsor on OpenCollective.

Gold Sponsors

makeup.land

Joseph Goldstone

Colorhythm

Silver Sponsors

Nick Shaw

Bronze Sponsors

Sean Cooper

CAVE Academy

Studio Zhanna Alekseeva.NYC

James Howard

Donations & Special Sponsors

JetBrains	Troy James Sobotka	Remi Achard	Kevin Whitfield	Richard Lackey
Liam Collod	Alex Mitchell	Ilia Sibiryakov	Zack Lewis	Frederic Savoir
Howard Colin	Christophe Brejon	Mario Rokicki	Joshua Pines

3 Features

Most of the objects are available from the colour namespace:

import colour

3.1 Automatic Colour Conversion Graph - `colour.graph`

import colour sd = colour.SDS_COLOURCHECKERS["ColorChecker N Ohta"]["dark skin"] colour.convert(sd, "Spectral Distribution", "sRGB", verbose={"mode": "Short"})

=============================================================================== * * * [ Conversion Path ] * * * * "sd_to_XYZ" --> "XYZ_to_sRGB" * * * =============================================================================== [ 0.49034776 0.30185875 0.23587685]

import colour sd = colour.SDS_COLOURCHECKERS["ColorChecker N Ohta"]["dark skin"] illuminant = colour.SDS_ILLUMINANTS["FL2"] colour.convert( sd, "Spectral Distribution", "sRGB", sd_to_XYZ={"illuminant": illuminant}, )

[ 0.47924575 0.31676968 0.17362725]

3.2 Chromatic Adaptation - `colour.adaptation`

import colour XYZ = [0.20654008, 0.12197225, 0.05136952] D65 = colour.CCS_ILLUMINANTS["CIE 1931 2 Degree Standard Observer"]["D65"] A = colour.CCS_ILLUMINANTS["CIE 1931 2 Degree Standard Observer"]["A"] colour.chromatic_adaptation(XYZ, colour.xy_to_XYZ(D65), colour.xy_to_XYZ(A))

[ 0.25331034 0.13765286 0.01543185]

import colour sorted(colour.CHROMATIC_ADAPTATION_METHODS)

['CIE 1994', 'CMCCAT2000', 'Fairchild 1990', 'Li 2025', 'Von Kries', 'Zhai 2018', 'vK20']

3.3 Algebra - `colour.algebra`

3.3.1 Kernel Interpolation

import colour y = [5.9200, 9.3700, 10.8135, 4.5100, 69.5900, 27.8007, 86.0500] x = range(len(y)) colour.KernelInterpolator(x, y)([0.25, 0.75, 5.50])

[ 6.18062083 8.08238488 57.85783403]

3.3.2 Sprague (1880) Interpolation

import colour y = [5.9200, 9.3700, 10.8135, 4.5100, 69.5900, 27.8007, 86.0500] x = range(len(y)) colour.SpragueInterpolator(x, y)([0.25, 0.75, 5.50])

[ 6.72951612 7.81406251 43.77379185]

3.4 Colour Appearance Models - `colour.appearance`

import colour XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] XYZ_w = [95.05, 100.00, 108.88] L_A = 318.31 Y_b = 20.0 colour.XYZ_to_CIECAM02(XYZ, XYZ_w, L_A, Y_b)

CAM_Specification_CIECAM02(J=34.434525727858997, C=67.365010921125915, h=22.279164147957076, s=62.814855853327131, Q=177.47124941102123, M=70.024939419291385, H=2.689608534423904, HC=None)

import colour XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] XYZ_w = [95.05, 100.00, 108.88] L_A = 318.31 Y_b = 20.0 colour.XYZ_to_CIECAM16(XYZ, XYZ_w, L_A, Y_b)

CAM_Specification_CIECAM16(J=33.880368498111686, C=69.444353357408033, h=19.510887327451748, s=64.03612114840314, Q=176.03752758512178, M=72.18638534116765, H=399.52975599115319, HC=None)

import colour XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] XYZ_w = [95.05, 100.00, 108.88] L_A = 318.31 Y_b = 20.0 colour.XYZ_to_CAM16(XYZ, XYZ_w, L_A, Y_b)

CAM_Specification_CAM16(J=33.880368498111686, C=69.444353357408033, h=19.510887327451748, s=64.03612114840314, Q=176.03752758512178, M=72.18638534116765, H=399.52975599115319, HC=None)

import colour XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] XYZ_w = [95.05, 100.00, 108.88] L_A = 318.31 Y_b = 20.0 colour.XYZ_to_Hellwig2022(XYZ, XYZ_w, L_A, Y_b)

CAM_Specification_Hellwig2022(J=33.880368498111686, C=37.579419116276348, h=19.510887327451748, s=109.33343382561695, Q=45.34489577734751, M=49.577131618021212, H=399.52975599115319, HC=None, J_HK=39.41741758094139, Q_HK=52.755585941150315)

import colour XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] XYZ_w = [95.05, 100.00, 108.88] L_A = 318.31 Y_b = 20.0 colour.XYZ_to_Kim2009(XYZ, XYZ_w, L_A)

CAM_Specification_Kim2009(J=19.879918542450937, C=55.83905525087696, h=22.013388165090031, s=112.9797935493912, Q=36.309026130161513, M=46.346415858227871, H=2.3543198369639753, HC=None)

import colour XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] XYZ_w = [95.05, 100.00, 108.88] L_A = 318.31 Y_b = 20.0 colour.XYZ_to_sCAM(XYZ, XYZ_w, L_A, Y_b)

CAM_Specification_sCAM(J=42.550992142462782, C=40.419439198593302, h=20.904455433026421, Q=175.74578999778015, M=14.325369984981474, H=7.1106008503613021, HC=None, V=81.92545469934403, K=18.07454530065597, W=0.023675944970833029, D=99.976324055029167)

import colour XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] XYZ_w = [95.05, 100.00, 108.88] L_A = 318.31 Y_b = 20.0 colour.XYZ_to_ZCAM(XYZ, XYZ_w, L_A, Y_b)

CAM_Specification_ZCAM(J=38.347186278956357, C=21.121389892085183, h=33.711578931095183, s=81.444585609489536, Q=76.986725284523772, M=42.403805833900513, H=0.45779200212217158, HC=None, V=43.623590687423551, K=43.20894953152817, W=34.829588380192149)

3.5 Colour Blindness - `colour.blindness`

import colour cmfs = colour.colorimetry.MSDS_CMFS_LMS["Stockman & Sharpe 2 Degree Cone Fundamentals"] colour.msds_cmfs_anomalous_trichromacy_Machado2009(cmfs, [15, 0, 0])[450]

[ 0.08912884 0.0870524 0.955393 ]

import colour cmfs = colour.colorimetry.MSDS_CMFS_LMS["Stockman & Sharpe 2 Degree Cone Fundamentals"] primaries = colour.MSDS_DISPLAY_PRIMARIES["Apple Studio Display"] d_LMS = (15, 0, 0) colour.matrix_anomalous_trichromacy_Machado2009(cmfs, primaries, d_LMS)

[[-0.27774652 2.65150084 -1.37375432] [ 0.27189369 0.20047862 0.52762768] [ 0.00644047 0.25921579 0.73434374]]

3.6 Colour Correction - `colour characterisation`

import colour import numpy as np RGB = [0.17224810, 0.09170660, 0.06416938] M_T = np.random.random((24, 3)) M_R = M_T + (np.random.random((24, 3)) - 0.5) * 0.5 colour.colour_correction(RGB, M_T, M_R)

[ 0.17960686 0.08935744 0.06766639] # (results will vary due to random inputs)

import colour sorted(colour.COLOUR_CORRECTION_METHODS)

['Cheung 2004', 'Finlayson 2015', 'Vandermonde']

3.7 ACES Input Transform - `colour characterisation`

import colour sensitivities = colour.MSDS_CAMERA_SENSITIVITIES["Nikon 5100 (NPL)"] illuminant = colour.SDS_ILLUMINANTS["D55"] colour.matrix_idt(sensitivities, illuminant)

(array([[ 0.59368175, 0.30418373, 0.10213451], [ 0.0045798 , 1.14946005, -0.15403985], [ 0.03552214, -0.16312291, 1.12760078]]), array([ 1.58214188, 1. , 1.28910346]))

3.8 Colorimetry - `colour.colorimetry`

3.8.1 Spectral Computations

import colour colour.sd_to_XYZ(colour.SDS_LIGHT_SOURCES["Neodimium Incandescent"])

[ 36.94726204 32.62076174 13.0143849 ]

import colour sorted(colour.SD_TO_XYZ_METHODS)

['ASTM E308', 'Integration', 'astm2015']

3.8.2 Multi-Spectral Computations

import colour msds = [ [ [ 0.01367208, 0.09127947, 0.01524376, 0.02810712, 0.19176012, 0.04299992, ], [ 0.00959792, 0.25822842, 0.41388571, 0.22275120, 0.00407416, 0.37439537, ], [ 0.01791409, 0.29707789, 0.56295109, 0.23752193, 0.00236515, 0.58190280, ], ], [ [ 0.01492332, 0.10421912, 0.02240025, 0.03735409, 0.57663846, 0.32416266, ], [ 0.04180972, 0.26402685, 0.03572137, 0.00413520, 0.41808194, 0.24696727, ], [ 0.00628672, 0.11454948, 0.02198825, 0.39906919, 0.63640803, 0.01139849, ], ], [ [ 0.04325933, 0.26825359, 0.23732357, 0.05175860, 0.01181048, 0.08233768, ], [ 0.02484169, 0.12027161, 0.00541695, 0.00654612, 0.18603799, 0.36247808, ], [ 0.03102159, 0.16815442, 0.37186235, 0.08610666, 0.00413520, 0.78492409, ], ], [ [ 0.11682307, 0.78883040, 0.74468607, 0.83375293, 0.90571451, 0.70054168, ], [ 0.06321812, 0.41898224, 0.15190357, 0.24591440, 0.55301750, 0.00657664, ], [ 0.00305180, 0.11288624, 0.11357290, 0.12924391, 0.00195315, 0.21771573, ], ], ] colour.msds_to_XYZ( msds, method="Integration", shape=colour.SpectralShape(400, 700, 60), )

[[[ 7.68544647 4.09414317 8.49324254] [ 17.12567298 27.77681821 25.52573685] [ 19.10280411 34.45851476 29.76319628]] [[ 18.03375827 8.62340812 9.71702574] [ 15.03110867 6.54001068 24.53208465] [ 37.68269495 26.4411103 10.66361816]] [[ 8.09532373 12.75333339 25.79613956] [ 7.09620297 2.79257389 11.15039854] [ 8.933163 19.39985815 17.14915636]] [[ 80.00969553 80.39810464 76.08184429] [ 33.27611427 24.38947838 39.34919287] [ 8.89425686 11.05185138 10.86767594]]]

import colour sorted(colour.MSDS_TO_XYZ_METHODS)

['ASTM E308', 'Integration', 'astm2015']

3.8.3 Blackbody Spectral Radiance Computation

import colour colour.sd_blackbody(5000)

[[ 360. 6654.27827064] [ 361. 6709.60527925] [ 362. 6764.82512152] ... [ 780. 10573.85196369]]

3.8.4 Dominant, Complementary Wavelength & Colour Purity Computation

import colour xy = [0.54369557, 0.32107944] xy_n = [0.31270000, 0.32900000] colour.dominant_wavelength(xy, xy_n)

(array(616.0), array([ 0.68354746, 0.31628409]), array([ 0.68354746, 0.31628409]))

3.8.5 Lightness Computation

import colour colour.lightness(12.19722535)

41.5278758447

import colour sorted(colour.LIGHTNESS_METHODS)

['Abebe 2017', 'CIE 1976', 'Fairchild 2010', 'Fairchild 2011', 'Glasser 1958', 'Lstar1976', 'Wyszecki 1963']

3.8.6 Luminance Computation

import colour colour.luminance(41.52787585)

12.1972253534

import colour sorted(colour.LUMINANCE_METHODS)

['ASTM D1535', 'Abebe 2017', 'CIE 1976', 'Fairchild 2010', 'Fairchild 2011', 'Newhall 1943', 'astm2008', 'cie1976']

3.8.7 Whiteness Computation

import colour XYZ = [95.00000000, 100.00000000, 105.00000000] XYZ_0 = [94.80966767, 100.00000000, 107.30513595] colour.whiteness(XYZ, XYZ_0)

[ 93.756 -1.33000001]

import colour sorted(colour.WHITENESS_METHODS)

['ASTM E313', 'Berger 1959', 'CIE 2004', 'Ganz 1979', 'Stensby 1968', 'Taube 1960', 'cie2004']

3.8.8 Yellowness Computation

import colour XYZ = [95.00000000, 100.00000000, 105.00000000] colour.yellowness(XYZ)

4.34

import colour sorted(colour.YELLOWNESS_METHODS)

['ASTM D1925', 'ASTM E313', 'ASTM E313 Alternative']

3.8.9 Luminous Flux, Efficiency & Efficacy Computation

import colour sd = colour.SDS_LIGHT_SOURCES["Neodimium Incandescent"] colour.luminous_flux(sd)

23807.6555274

import colour sd = colour.SDS_LIGHT_SOURCES["Neodimium Incandescent"] colour.luminous_efficiency(sd)

0.199439356245

import colour sd = colour.SDS_LIGHT_SOURCES["Neodimium Incandescent"] colour.luminous_efficacy(sd)

136.217080315

3.9 Contrast Sensitivity Function - `colour.contrast`

import colour colour.contrast_sensitivity_function(u=4, X_0=60, E=65)

358.511807899

import colour sorted(colour.CONTRAST_SENSITIVITY_METHODS)

['Barten 1999']

3.10 Colour Difference - `colour.difference`

import colour Lab_1 = [100.00000000, 21.57210357, 272.22819350] Lab_2 = [100.00000000, 426.67945353, 72.39590835] colour.delta_E(Lab_1, Lab_2)

94.0356490267

import colour sorted(colour.DELTA_E_METHODS)

['CAM02-LCD', 'CAM02-SCD', 'CAM02-UCS', 'CAM16-LCD', 'CAM16-SCD', 'CAM16-UCS', 'CIE 1976', 'CIE 1994', 'CIE 2000', 'CMC', 'DIN99', 'HyAB', 'HyCH', 'ITP', 'cie1976', 'cie1994', 'cie2000']

3.11 IO - `colour.io`

3.11.1 Images

import colour RGB = colour.read_image("Ishihara_Colour_Blindness_Test_Plate_3.png") RGB.shape

(276, 281, 3)

3.11.2 Spectral Images - Fichet et al. (2021)

import colour components = colour.read_spectral_image_Fichet2021("Polarised.exr") list(components.keys())

['S0', 'S1', 'S2', 'S3']

3.11.3 Look Up Table (LUT) Data

import colour LUT = colour.read_LUT("ACES_Proxy_10_to_ACES.cube") print(LUT)

LUT3x1D - ACES Proxy 10 to ACES ------------------------------- Dimensions : 2 Domain : [[0 0 0] [1 1 1]] Size : (32, 3)

import colour RGB = [0.17224810, 0.09170660, 0.06416938] LUT.apply(RGB)

[ 0.00575674, 0.00181493, 0.00121419]

3.12 Colour Models - `colour.models`

3.12.1 CIE xyY Colourspace

import colour colour.XYZ_to_xyY([0.20654008, 0.12197225, 0.05136952])

[ 0.54369557 0.32107944 0.12197225]

3.12.2 CIE Lab* Colourspace

import colour colour.XYZ_to_Lab([0.20654008, 0.12197225, 0.05136952])

[ 41.52787529 52.63858304 26.92317922]

3.12.3 CIE Luv* Colourspace

import colour colour.XYZ_to_Luv([0.20654008, 0.12197225, 0.05136952])

[ 41.52787529 96.83626054 17.75210149]

3.12.4 CIE 1960 UCS Colourspace

import colour colour.XYZ_to_UCS([0.20654008, 0.12197225, 0.05136952])

[ 0.13769339 0.12197225 0.1053731 ]

3.12.5 CIE 1964 UVW* Colourspace

import colour XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] colour.XYZ_to_UVW(XYZ)

[ 94.55035725 11.55536523 40.54757405]

3.12.6 CAM02-LCD, CAM02-SCD, and CAM02-UCS Colourspaces - Luo, Cui and Li (2006)

import colour XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] XYZ_w = [95.05, 100.00, 108.88] L_A = 318.31 Y_b = 20.0 surround = colour.VIEWING_CONDITIONS_CIECAM02["Average"] specification = colour.XYZ_to_CIECAM02(XYZ, XYZ_w, L_A, Y_b, surround) JMh = [specification.J, specification.M, specification.h] colour.JMh_CIECAM02_to_CAM02UCS(JMh)

[ 47.16899898 38.72623785 15.8663383 ]

import colour XYZ = [0.20654008, 0.12197225, 0.05136952] XYZ_w = [95.05 / 100, 100.00 / 100, 108.88 / 100] L_A = 318.31 Y_b = 20.0 colour.XYZ_to_CAM02UCS(XYZ, XYZ_w=XYZ_w, L_A=L_A, Y_b=Y_b)

[ 47.16899898 38.72623785 15.8663383 ]

3.12.7 CAM16-LCD, CAM16-SCD, and CAM16-UCS Colourspaces - Li et al. (2017)

import colour XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] XYZ_w = [95.05, 100.00, 108.88] L_A = 318.31 Y_b = 20.0 surround = colour.VIEWING_CONDITIONS_CAM16["Average"] specification = colour.XYZ_to_CAM16(XYZ, XYZ_w, L_A, Y_b, surround) JMh = [specification.J, specification.M, specification.h] colour.JMh_CAM16_to_CAM16UCS(JMh)

[ 46.55542238 40.22460974 14.25288392]

import colour XYZ = [0.20654008, 0.12197225, 0.05136952] XYZ_w = [95.05 / 100, 100.00 / 100, 108.88 / 100] L_A = 318.31 Y_b = 20.0 colour.XYZ_to_CAM16UCS(XYZ, XYZ_w=XYZ_w, L_A=L_A, Y_b=Y_b)

[ 46.55542238 40.22460974 14.25288392]

3.12.8 DIN99 Colourspace and DIN99b, DIN99c, DIN99d Refined Formulas

import colour Lab = [41.52787529, 52.63858304, 26.92317922] colour.Lab_to_DIN99(Lab)

[ 53.22821988 28.41634656 3.89839552]

3.12.9 ICaCb Colourspace

import colour colour.XYZ_to_ICaCb([0.20654008, 0.12197225, 0.05136952])

[ 0.06875297 0.05753352 0.02081548]

3.12.10 IgPgTg Colourspace

import colour colour.XYZ_to_IgPgTg([0.20654008, 0.12197225, 0.05136952])

[ 0.42421258 0.18632491 0.10689223]

3.12.11 IPT Colourspace

import colour colour.XYZ_to_IPT([0.20654008, 0.12197225, 0.05136952])

[ 0.38426191 0.38487306 0.18886838]

3.12.12 Jzazbz Colourspace

import colour colour.XYZ_to_Jzazbz([0.20654008, 0.12197225, 0.05136952])

[ 0.00535048 0.00924302 0.00526007]

3.12.13 Hunter L,a,b Colour Scale

import colour XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] colour.XYZ_to_Hunter_Lab(XYZ)

[ 34.92452577 47.06189858 14.38615107]

3.12.14 Hunter Rd,a,b Colour Scale

import colour XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] colour.XYZ_to_Hunter_Rdab(XYZ)

[ 12.197225 57.12537874 17.46241341]

3.12.15 Oklab Colourspace

import colour colour.XYZ_to_Oklab([0.20654008, 0.12197225, 0.05136952])

[ 0.51634019 0.154695 0.06289579]

3.12.16 OSA UCS Colourspace

import colour XYZ = [0.20654008 * 100, 0.12197225 * 100, 0.05136952 * 100] colour.XYZ_to_OSA_UCS(XYZ)

[-3.0049979 2.99713697 -9.66784231]

3.12.17 ProLab Colourspace

import colour colour.XYZ_to_ProLab([0.51634019, 0.15469500, 0.06289579])

[ 59.8466286 115.0396354 20.12510352]

3.12.18 Ragoo and Farup (2021) Optimised IPT Colourspace

import colour colour.XYZ_to_IPT_Ragoo2021([0.20654008, 0.12197225, 0.05136952])

[ 0.42248243 0.2910514 0.20410663]

3.12.19 Yrg Colourspace - Kirk (2019)

import colour colour.XYZ_to_Yrg([0.20654008, 0.12197225, 0.05136952])

[ 0.13137801 0.49037645 0.37777388]

3.12.20 hdr-CIELAB Colourspace

import colour colour.XYZ_to_hdr_CIELab([0.20654008, 0.12197225, 0.05136952])

[ 51.87002062 60.4763385 32.14551912]

3.12.21 hdr-IPT Colourspace

import colour colour.XYZ_to_hdr_IPT([0.20654008, 0.12197225, 0.05136952])

[ 25.18261761 -22.62111297 3.18511729]

3.12.22 Y'CbCr Colour Encoding

import colour colour.RGB_to_YCbCr([1.0, 1.0, 1.0])

[ 0.92156863 0.50196078 0.50196078]

3.12.23 YCoCg Colour Encoding

import colour colour.RGB_to_YCoCg([0.75, 0.75, 0.0])

[ 0.5625 0.375 0.1875]

3.12.24 ICtCp Colour Encoding

import colour colour.RGB_to_ICtCp([0.45620519, 0.03081071, 0.04091952])

[ 0.07351364 0.00475253 0.09351596]

3.12.25 HSV Colourspace

import colour colour.RGB_to_HSV([0.45620519, 0.03081071, 0.04091952])

[ 0.99603944 0.93246304 0.45620519]

3.12.26 IHLS Colourspace

import colour colour.RGB_to_IHLS([0.45620519, 0.03081071, 0.04091952])

[ 6.26236117 0.12197943 0.42539448]

3.12.27 Prismatic Colourspace

import colour colour.RGB_to_Prismatic([0.25, 0.50, 0.75])

[ 0.75 0.16666667 0.33333333 0.5 ]

3.12.28 RGB Colourspace and Transformations

import colour XYZ = [0.21638819, 0.12570000, 0.03847493] illuminant_XYZ = [0.34570, 0.35850] illuminant_RGB = [0.31270, 0.32900] chromatic_adaptation_transform = "Bradford" matrix_XYZ_to_RGB = [ [3.24062548, -1.53720797, -0.49862860], [-0.96893071, 1.87575606, 0.04151752], [0.05571012, -0.20402105, 1.05699594], ] colour.XYZ_to_RGB( XYZ, illuminant_XYZ, illuminant_RGB, matrix_XYZ_to_RGB, chromatic_adaptation_transform, )

[ 0.45595571 0.03039702 0.04087245]

3.12.29 RGB Colourspace Derivation

import colour p = [0.73470, 0.26530, 0.00000, 1.00000, 0.00010, -0.07700] w = [0.32168, 0.33767] colour.normalised_primary_matrix(p, w)

[[ 9.52552396e-01 0.00000000e+00 9.36786317e-05] [ 3.43966450e-01 7.28166097e-01 -7.21325464e-02] [ 0.00000000e+00 0.00000000e+00 1.00882518e+00]]

3.12.30 RGB Colourspaces

import colour sorted(colour.RGB_COLOURSPACES)

['ACES2065-1', 'ACEScc', 'ACEScct', 'ACEScg', 'ACESproxy', 'ARRI Wide Gamut 3', 'ARRI Wide Gamut 4', 'Adobe RGB (1998)', 'Adobe Wide Gamut RGB', 'Apple RGB', 'Best RGB', 'Beta RGB', 'Blackmagic Wide Gamut', 'CIE RGB', 'CIE XYZ-D65 - Scene-referred', 'Cinema Gamut', 'ColorMatch RGB', 'DCDM XYZ', 'DCI-P3', 'DCI-P3-P', 'DJI D-Gamut', 'DRAGONcolor', 'DRAGONcolor2', 'DaVinci Wide Gamut', 'Display P3', 'Don RGB 4', 'EBU Tech. 3213-E', 'ECI RGB v2', 'ERIMM RGB', 'Ekta Space PS 5', 'F-Gamut', 'F-Gamut C', 'FilmLight E-Gamut', 'FilmLight E-Gamut 2', 'Gamma 1.8 Encoded Rec.709', 'Gamma 2.2 Encoded AP1', 'Gamma 2.2 Encoded AdobeRGB', 'Gamma 2.2 Encoded Rec.709', 'ITU-R BT.2020', 'ITU-R BT.470 - 525', 'ITU-R BT.470 - 625', 'ITU-R BT.709', 'ITU-T H.273 - 22 Unspecified', 'ITU-T H.273 - Generic Film', 'Linear AdobeRGB', 'Linear P3-D65', 'Linear Rec.2020', 'Linear Rec.709 (sRGB)', 'Max RGB', 'N-Gamut', 'NTSC (1953)', 'NTSC (1987)', 'P3-D65', 'PLASA ANSI E1.54', 'Pal/Secam', 'ProPhoto RGB', 'Protune Native', 'REDWideGamutRGB', 'REDcolor', 'REDcolor2', 'REDcolor3', 'REDcolor4', 'RIMM RGB', 'ROMM RGB', 'Russell RGB', 'S-Gamut', 'S-Gamut3', 'S-Gamut3.Cine', 'SMPTE 240M', 'SMPTE C', 'Sharp RGB', 'V-Gamut', 'Venice S-Gamut3', 'Venice S-Gamut3.Cine', 'Xtreme RGB', 'aces', 'adobe1998', 'g18_rec709_scene', 'g22_adobergb_scene', 'g22_ap1_scene', 'g22_rec709_scene', 'lin_adobergb_scene', 'lin_ap0_scene', 'lin_ap1_scene', 'lin_ciexyzd65_scene', 'lin_p3d65_scene', 'lin_rec2020_scene', 'lin_rec709_scene', 'prophoto', 'sRGB', 'sRGB Encoded AP1', 'sRGB Encoded P3-D65', 'sRGB Encoded Rec.709 (sRGB)', 'srgb_ap1_scene', 'srgb_p3d65_scene', 'srgb_rec709_scene']

3.12.31 OETFs

import colour sorted(colour.OETFS)

['ARIB STD-B67', 'Blackmagic Film Generation 5', 'DaVinci Intermediate', 'ITU-R BT.2020', 'ITU-R BT.2100 HLG', 'ITU-R BT.2100 PQ', 'ITU-R BT.601', 'ITU-R BT.709', 'ITU-T H.273 IEC 61966-2', 'ITU-T H.273 Log', 'ITU-T H.273 Log Sqrt', 'SMPTE 240M']

3.12.32 EOTFs

import colour sorted(colour.EOTFS)

['DCDM', 'DICOM GSDF', 'ITU-R BT.1886', 'ITU-R BT.2100 HLG', 'ITU-R BT.2100 PQ', 'ITU-T H.273 ST.428-1', 'SMPTE 240M', 'ST 2084', 'sRGB']

3.12.33 OOTFs

import colour sorted(colour.OOTFS)

['ITU-R BT.2100 HLG', 'ITU-R BT.2100 PQ']

3.12.34 Log Encoding / Decoding

import colour sorted(colour.LOG_ENCODINGS)

['ACEScc', 'ACEScct', 'ACESproxy', 'ARRI LogC3', 'ARRI LogC4', 'Apple Log Profile', 'Canon Log', 'Canon Log 2', 'Canon Log 3', 'Cineon', 'D-Log', 'ERIMM RGB', 'F-Log', 'F-Log2', 'Filmic Pro 6', 'L-Log', 'Log2', 'Log3G10', 'Log3G12', 'Mi-Log', 'N-Log', 'PLog', 'Panalog', 'Protune', 'REDLog', 'REDLogFilm', 'S-Log', 'S-Log2', 'S-Log3', 'T-Log', 'V-Log', 'ViperLog']

3.12.35 CCTFs Encoding / Decoding

import colour sorted(colour.CCTF_ENCODINGS)

['ACEScc', 'ACEScct', 'ACESproxy', 'ARIB STD-B67', 'ARRI LogC3', 'ARRI LogC4', 'Apple Log Profile', 'Blackmagic Film Generation 5', 'Canon Log', 'Canon Log 2', 'Canon Log 3', 'Cineon', 'D-Log', 'DCDM', 'DICOM GSDF', 'DaVinci Intermediate', 'ERIMM RGB', 'F-Log', 'F-Log2', 'Filmic Pro 6', 'Gamma 2.2', 'Gamma 2.4', 'Gamma 2.6', 'ITU-R BT.1886', 'ITU-R BT.2020', 'ITU-R BT.2100 HLG', 'ITU-R BT.2100 PQ', 'ITU-R BT.601', 'ITU-R BT.709', 'ITU-T H.273 IEC 61966-2', 'ITU-T H.273 Log', 'ITU-T H.273 Log Sqrt', 'ITU-T H.273 ST.428-1', 'L-Log', 'Log2', 'Log3G10', 'Log3G12', 'Mi-Log', 'N-Log', 'PLog', 'Panalog', 'ProPhoto RGB', 'Protune', 'REDLog', 'REDLogFilm', 'RIMM RGB', 'ROMM RGB', 'S-Log', 'S-Log2', 'S-Log3', 'SMPTE 240M', 'ST 2084', 'T-Log', 'V-Log', 'ViperLog', 'sRGB']

3.12.36 Recommendation ITU-T H.273 Code points for Video Signal Type Identification

import colour colour.COLOUR_PRIMARIES_ITUTH273.keys()

dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 22, 23])

import colour colour.models.describe_video_signal_colour_primaries(1)

=============================================================================== * * * Colour Primaries: 1 * * ------------------- * * * * Primaries : [[ 0.64 0.33] * * [ 0.3 0.6 ] * * [ 0.15 0.06]] * * Whitepoint : [ 0.3127 0.329 ] * * Whitepoint Name : D65 * * NPM : [[ 0.4123908 0.35758434 0.18048079] * * [ 0.21263901 0.71516868 0.07219232] * * [ 0.01933082 0.11919478 0.95053215]] * * NPM -1 : [[ 3.24096994 -1.53738318 -0.49861076] * * [-0.96924364 1.8759675 0.04155506] * * [ 0.05563008 -0.20397696 1.05697151]] * * FFmpeg Constants : ['AVCOL_PRI_BT709', 'BT709'] * * * ===============================================================================

import colour colour.TRANSFER_CHARACTERISTICS_ITUTH273.keys()

dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19])

import colour colour.models.describe_video_signal_transfer_characteristics(1)

=============================================================================== * * * Transfer Characteristics: 1 * * --------------------------- * * * * Function : * * FFmpeg Constants : ['AVCOL_TRC_BT709', 'BT709'] * * * ===============================================================================

import colour colour.MATRIX_COEFFICIENTS_ITUTH273.keys()

dict_keys([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15])

import colour colour.models.describe_video_signal_matrix_coefficients(1)

=============================================================================== * * * Matrix Coefficients: 1 * * ---------------------- * * * * Matrix Coefficients : [ 0.2126 0.0722] * * FFmpeg Constants : ['AVCOL_SPC_BT709', 'BT709'] * * * ===============================================================================

3.13 Colour Notation Systems - `colour.notation`

3.13.1 Munsell Value

import colour colour.munsell_value(12.23634268)

4.08244370765

import colour sorted(colour.MUNSELL_VALUE_METHODS)

['ASTM D1535', 'Ladd 1955', 'McCamy 1987', 'Moon 1943', 'Munsell 1933', 'Priest 1920', 'Saunderson 1944', 'astm2008']

3.13.2 Munsell Colour

import colour colour.xyY_to_munsell_colour([0.38736945, 0.35751656, 0.59362000])

4.2YR 8.1/5.3

import colour colour.munsell_colour_to_xyY("4.2YR 8.1/5.3")

[ 0.38736945 0.35751656 0.59362 ]

3.14 Optical Phenomena - `colour.phenomena`

3.14.1 Rayleigh Scattering

import colour colour.sd_rayleigh_scattering()

[[ 3.60000000e+02 5.60246579e-01] [ 3.61000000e+02 5.53748137e-01] [ 3.62000000e+02 5.47344692e-01] ... [ 7.80000000e+02 2.35336632e-02]]

3.14.2 Thin Film Interference

import colour import numpy as np # Soap film (water, n=1.33) interference R, T = colour.thin_film_tmm( n=[1.0, 1.33, 1.0], # [air, film, air] t=300, # 300 nm thickness wavelength=np.linspace(380, 780, 10), theta=0, # Normal incidence ) print(R[..., 0]) # s-polarisation reflectance

[[[0.01800269]] [[0.03176697]] [[0.0452849 ]] [[0.05812178]] [[0.06940598]] [[0.07834261]] [[0.08446072]] [[0.08770155]] [[0.08842705]] [[0.08732785]]]

3.15 Light Quality - `colour.quality`

3.15.1 Colour Fidelity Index

import colour colour.colour_fidelity_index(colour.SDS_ILLUMINANTS["FL2"])

70.1208244014

import colour sorted(colour.COLOUR_FIDELITY_INDEX_METHODS)

['ANSI/IES TM-30-18', 'CIE 2017']

3.15.2 Colour Quality Scale

import colour colour.colour_quality_scale(colour.SDS_ILLUMINANTS["FL2"])

64.1118220157

import colour sorted(colour.COLOUR_QUALITY_SCALE_METHODS)

['NIST CQS 7.4', 'NIST CQS 9.0']

3.15.3 Colour Rendering Index

import colour colour.colour_rendering_index(colour.SDS_ILLUMINANTS["FL2"])

64.2337241217

import colour sorted(colour.COLOUR_RENDERING_INDEX_METHODS)

['CIE 1995', 'CIE 2024']

3.15.4 Academy Spectral Similarity Index (SSI)

import colour colour.spectral_similarity_index( colour.SDS_ILLUMINANTS["C"], colour.SDS_ILLUMINANTS["D65"] )

94.0

3.16 Spectral Up-Sampling & Recovery - `colour.recovery`

3.16.1 Reflectance Recovery

import colour colour.XYZ_to_sd([0.20654008, 0.12197225, 0.05136952])

[[ 3.60000000e+02 8.42398617e-02] [ 3.65000000e+02 8.42355431e-02] [ 3.70000000e+02 8.42689564e-02] ... [ 7.80000000e+02 4.46952477e-01]]

import colour sorted(colour.XYZ_TO_SD_METHODS)

['Gaussian', 'Jakob 2019', 'Mallett 2019', 'Meng 2015', 'Otsu 2018', 'Smits 1999']

import colour colour.XYZ_to_msds( [ [0.20654008, 0.12197225, 0.05136952], [0.14223761, 0.23042375, 0.10498415], [0.07820260, 0.06157595, 0.28106183], ] ).shape

(3, 421)

import colour sorted(colour.XYZ_TO_MSDS_METHODS)

['Gaussian', 'Smits 1999']

3.16.2 Camera RGB Sensitivities Recovery

import colour illuminant = colour.colorimetry.SDS_ILLUMINANTS["D65"] sensitivities = colour.characterisation.MSDS_CAMERA_SENSITIVITIES["Nikon 5100 (NPL)"] reflectances = [ sd.copy().align(colour.recovery.SPECTRAL_SHAPE_BASIS_FUNCTIONS_DYER2017) for sd in colour.SDS_COLOURCHECKERS["BabelColor Average"].values() ] reflectances = colour.colorimetry.sds_and_msds_to_msds(reflectances) RGB = colour.colorimetry.msds_to_XYZ( reflectances, method="Integration", cmfs=sensitivities, illuminant=illuminant, k=0.01, shape=colour.recovery.SPECTRAL_SHAPE_BASIS_FUNCTIONS_DYER2017, ) colour.recovery.RGB_to_msds_camera_sensitivities_Jiang2013( RGB, illuminant, reflectances, colour.recovery.BASIS_FUNCTIONS_DYER2017, colour.recovery.SPECTRAL_SHAPE_BASIS_FUNCTIONS_DYER2017, )

RGB_CameraSensitivities([[ 4.00000000e+02, 7.04378461e-03, 9.21260449e-03, -7.64080878e-03], [ 4.10000000e+02, -8.76715607e-03, 1.12726694e-02, 6.37434190e-03], [ 4.20000000e+02, 4.58126856e-02, 7.18000418e-02, 4.00001696e-01], ... [ 6.80000000e+02, 4.00195568e-02, 5.55512389e-03, 1.36794925e-03], [ 6.90000000e+02, -4.32240535e-03, 2.49731193e-03, 3.80303275e-04], [ 7.00000000e+02, -6.00395414e-03, 1.54678227e-03, 5.40394352e-04]], ['red', 'green', 'blue'], SpragueInterpolator, {}, Extrapolator, {'method': 'Constant', 'left': None, 'right': None})

3.17 Correlated Colour Temperature Computation Methods - `colour.temperature`

import colour colour.uv_to_CCT([0.1978, 0.3122])

[ 6.50747479e+03 3.22334634e-03]

import colour sorted(colour.UV_TO_CCT_METHODS)

['Krystek 1985', 'Ohno 2013', 'Planck 1900', 'Robertson 1968', 'ohno2013', 'robertson1968']

import colour sorted(colour.XY_TO_CCT_METHODS)

['CIE Illuminant D Series', 'Hernandez 1999', 'Kang 2002', 'McCamy 1992', 'daylight', 'hernandez1999', 'kang2002', 'mccamy1992']

3.18 Colour Volume - `colour.volume`

import colour colour.RGB_colourspace_volume_MonteCarlo(colour.RGB_COLOURSPACE_RGB["sRGB"])

821958.30000000005

3.19 Geometry Primitives Generation - `colour.geometry`

import colour colour.primitive("Grid")

(array([ ([-0.5, 0.5, 0. ], [ 0., 1.], [ 0., 0., 1.], [ 0., 1., 0., 1.]), ([ 0.5, 0.5, 0. ], [ 1., 1.], [ 0., 0., 1.], [ 1., 1., 0., 1.]), ([-0.5, -0.5, 0. ], [ 0., 0.], [ 0., 0., 1.], [ 0., 0., 0., 1.]), ([ 0.5, -0.5, 0. ], [ 1., 0.], [ 0., 0., 1.], [ 1., 0., 0., 1.])], dtype=[('position', ' [2, 3, 1]]), array([[0, 2], [2, 3], [3, 1], [1, 0]]))

import colour sorted(colour.PRIMITIVE_METHODS)

['Cube', 'Grid']

import colour colour.primitive_vertices("Quad MPL")

[[ 0. 0. 0.] [ 1. 0. 0.] [ 1. 1. 0.] [ 0. 1. 0.]]

3.20 Plotting - `colour.plotting`

Most of the objects are available from the colour.plotting namespace:

from colour.plotting import * colour_style()

3.20.1 Visible Spectrum

from colour.plotting import * plot_visible_spectrum("CIE 1931 2 Degree Standard Observer")

(

, )

3.20.2 Spectral Distribution

from colour.plotting import * plot_single_illuminant_sd("FL1")

(

, )

3.20.3 Blackbody

import colour from colour.plotting import * blackbody_sds = [ colour.sd_blackbody(i, colour.SpectralShape(1, 10001, 10)) for i in range(1000, 15000, 1000) ] plot_multi_sds( blackbody_sds, y_label="W / (sr m$^2$) / m", plot_kwargs={"use_sd_colours": True, "normalise_sd_colours": True}, legend_location="upper right", bounding_box=(0, 1250, 0, 2.5e6), )

(

, )

3.20.4 Colour Matching Functions

from colour.plotting import * plot_single_cmfs( "Stockman & Sharpe 2 Degree Cone Fundamentals", y_label="Sensitivity", bounding_box=(390, 870, 0, 1.1), )

(

, )

3.20.5 Luminous Efficiency

import colour from colour.plotting import * sd_mesopic_luminous_efficiency_function = ( colour.sd_mesopic_luminous_efficiency_function(0.2) ) plot_multi_sds( ( sd_mesopic_luminous_efficiency_function, colour.colorimetry.SDS_LEFS_PHOTOPIC["CIE 1924 Photopic Standard Observer"], colour.colorimetry.SDS_LEFS_SCOTOPIC["CIE 1951 Scotopic Standard Observer"], ), y_label="Luminous Efficiency", legend_location="upper right", y_tighten=True, margins=(0, 0, 0, 0.1), )

(

, )

3.20.6 Colour Checker

import colour from colour.plotting import * plot_multi_sds( list(colour.SDS_COLOURCHECKERS["BabelColor Average"].values()), plot_kwargs={ "use_sd_colours": True, }, title=("BabelColor Average - " "Spectral Distributions"), )

(

, )

from colour.plotting import * plot_single_colour_checker("ColorChecker 2005", text_kwargs={"visible": False})

(

, )

3.20.7 Chromaticities Prediction

from colour.plotting import * plot_corresponding_chromaticities_prediction( 2, "Von Kries", {"transform": "Bianco 2010"} )

(

, )

3.20.8 Chromaticities

import numpy as np from colour.plotting import * RGB = np.random.random((32, 32, 3)) plot_RGB_chromaticities_in_chromaticity_diagram_CIE1931( RGB, "ITU-R BT.709", colourspaces=["ACEScg", "S-Gamut", "Pointer Gamut"], )

(

, ylabel='CIE y'>

3.20.9 Colour Rendering Index Bars

import colour from colour.plotting import * plot_single_sd_colour_rendering_index_bars(colour.SDS_ILLUMINANTS["FL2"])

(

, )

3.20.10 ANSI/IES TM-30-18 Colour Rendition Report

import colour from colour.plotting import * plot_single_sd_colour_rendition_report(colour.SDS_ILLUMINANTS["FL2"])

(

, )

3.20.11 Gamut Section

from colour.plotting import * plot_visible_spectrum_section(section_colours="RGB", section_opacity=0.15)

(

, )

from colour.plotting import * plot_RGB_colourspace_section("sRGB", section_colours="RGB", section_opacity=0.15)

(

, )

3.20.12 Colour Temperature

from colour.plotting import * plot_planckian_locus_in_chromaticity_diagram_CIE1960UCS(["A", "B", "C"])

(

, )

3.20.13 Thin Film Interference

from colour.plotting import * plot_thin_film_iridescence([1.0, 1.33, 1.0])

(

, )

4 User Guide

4.1 Installation

Colour and its primary dependencies can be easily installed from the Python Package Index by issuing this command in a shell:

$ pip install --user colour-science

The detailed installation procedure for the secondary dependencies is described in the Installation Guide.

Colour is also available for Anaconda from Continuum Analytics via conda-forge:

$ conda install -c conda-forge colour-science

4.2 Tutorial

The static tutorial provides an introduction to Colour. An interactive version is available via Google Colab.

4.3 How-To

The Google Colab How-To guide for Colour shows various techniques to solve specific problems and highlights some interesting use cases.

4.4 Contributing

If you would like to contribute to Colour, please refer to the following Contributing guide.

4.5 Changes

The changes are viewable on the Releases page.

4.6 Bibliography

The bibliography is available on the Bibliography page.

It is also viewable directly from the repository in BibTeX format.

5 API Reference

The main technical reference for Colour is the API Reference:

6 See Also

6.1 Software

Python

ColorAide by Muse, I.
ColorPy by Kness, M.
Colorspacious by Smith, N. J., et al.
python-colormath by Taylor, G., et al.

go-colorful by Beyer, L., et al.

.NET

Colourful by Pazourek, T., et al.

Julia

Colors.jl by Holy, T., et al.

Matlab & Octave

COLORLAB by Malo, J., et al.
Psychtoolbox by Brainard, D., et al.
The Munsell and Kubelka-Munk Toolbox by Centore, P.

7 Code of Conduct

The Code of Conduct, adapted from the Contributor Covenant 1.4, is available on the Code of Conduct page.

8 Contact & Social

The Colour Developers can be reached via different means:

9 Thank You!

Coffee Sponsors

Anonymous

Cedric Lejeune

10 About

Colour by Colour Developers

This software is released under terms of BSD-3-Clause: https://opensource.org/licenses/BSD-3-Clause

https://github.com/colour-science/colour

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1 Draft Release Notes

2 Sponsors

Gold Sponsors

Silver Sponsors

Bronze Sponsors

Donations & Special Sponsors

3 Features

3.1 Automatic Colour Conversion Graph - colour.graph

3.2 Chromatic Adaptation - colour.adaptation

3.3 Algebra - colour.algebra

3.3.1 Kernel Interpolation

3.3.2 Sprague (1880) Interpolation

3.4 Colour Appearance Models - colour.appearance

3.5 Colour Blindness - colour.blindness

3.6 Colour Correction - colour characterisation

3.7 ACES Input Transform - colour characterisation

3.8 Colorimetry - colour.colorimetry

3.8.1 Spectral Computations

3.8.2 Multi-Spectral Computations

3.8.3 Blackbody Spectral Radiance Computation

3.8.4 Dominant, Complementary Wavelength & Colour Purity Computation

3.8.5 Lightness Computation

3.8.6 Luminance Computation

3.8.7 Whiteness Computation

3.8.8 Yellowness Computation

3.8.9 Luminous Flux, Efficiency & Efficacy Computation

3.9 Contrast Sensitivity Function - colour.contrast

3.10 Colour Difference - colour.difference

3.11 IO - colour.io

3.11.1 Images

3.11.2 Spectral Images - Fichet et al. (2021)

3.11.3 Look Up Table (LUT) Data

3.12 Colour Models - colour.models

3.12.1 CIE xyY Colourspace

3.12.2 CIE L*a*b* Colourspace

3.12.3 CIE L*u*v* Colourspace

3.12.4 CIE 1960 UCS Colourspace

3.12.5 CIE 1964 U*V*W* Colourspace

3.12.6 CAM02-LCD, CAM02-SCD, and CAM02-UCS Colourspaces - Luo, Cui and Li (2006)

3.12.7 CAM16-LCD, CAM16-SCD, and CAM16-UCS Colourspaces - Li et al. (2017)

3.12.8 DIN99 Colourspace and DIN99b, DIN99c, DIN99d Refined Formulas

3.12.9 ICaCb Colourspace

3.12.10 IgPgTg Colourspace

3.12.11 IPT Colourspace

3.12.12 Jzazbz Colourspace

3.12.13 Hunter L,a,b Colour Scale

3.12.14 Hunter Rd,a,b Colour Scale

3.12.15 Oklab Colourspace

3.12.16 OSA UCS Colourspace

3.12.17 ProLab Colourspace

3.12.18 Ragoo and Farup (2021) Optimised IPT Colourspace

3.12.19 Yrg Colourspace - Kirk (2019)

3.12.20 hdr-CIELAB Colourspace

3.12.21 hdr-IPT Colourspace

3.12.22 Y'CbCr Colour Encoding

3.12.23 YCoCg Colour Encoding

3.12.24 ICtCp Colour Encoding

3.12.25 HSV Colourspace

3.12.26 IHLS Colourspace

3.12.27 Prismatic Colourspace

3.12.28 RGB Colourspace and Transformations

3.12.29 RGB Colourspace Derivation

3.12.30 RGB Colourspaces

3.12.31 OETFs

3.12.32 EOTFs

3.12.33 OOTFs

3.12.34 Log Encoding / Decoding

3.12.35 CCTFs Encoding / Decoding

3.12.36 Recommendation ITU-T H.273 Code points for Video Signal Type Identification

3.13 Colour Notation Systems - colour.notation

3.13.1 Munsell Value

3.13.2 Munsell Colour

3.14 Optical Phenomena - colour.phenomena

3.14.1 Rayleigh Scattering

3.14.2 Thin Film Interference

3.1 Automatic Colour Conversion Graph - `colour.graph`

3.2 Chromatic Adaptation - `colour.adaptation`

3.3 Algebra - `colour.algebra`

3.4 Colour Appearance Models - `colour.appearance`

3.5 Colour Blindness - `colour.blindness`

3.6 Colour Correction - `colour characterisation`

3.7 ACES Input Transform - `colour characterisation`

3.8 Colorimetry - `colour.colorimetry`

3.9 Contrast Sensitivity Function - `colour.contrast`

3.10 Colour Difference - `colour.difference`

3.11 IO - `colour.io`

3.12 Colour Models - `colour.models`

3.12.2 CIE Lab* Colourspace

3.12.3 CIE Luv* Colourspace

3.12.5 CIE 1964 UVW* Colourspace

3.13 Colour Notation Systems - `colour.notation`

3.14 Optical Phenomena - `colour.phenomena`

3.15 Light Quality - `colour.quality`

3.16 Spectral Up-Sampling & Recovery - `colour.recovery`

3.17 Correlated Colour Temperature Computation Methods - `colour.temperature`

3.18 Colour Volume - `colour.volume`

3.19 Geometry Primitives Generation - `colour.geometry`

3.20 Plotting - `colour.plotting`