text:
@misc{ANSI2003a,
  title        = {Specification of {{ROMM RGB}}},
  author       = {{ANSI}},
  year         = 2003,
  pages        = {1--2},
}
@book{ANSI2018,
  title        = {{{ANSI}}/{{IES TM-30-18}} - {{IES Method}} for
    {{Evaluating Light Source Color Rendition}}},
  author       = {{ANSI} and {IES Color Committee}},
  year         = 2018,
  publisher    = {{ANSI/IES}},
  isbn         = {978-0-87995-379-9},
  annotation   = {thomas.mansencal@gmail.com},
}
@misc{ARRI2012a,
  title        = {{{ALEXA}} - {{Log C Curve}} - {{Usage}} in {{VFX}}},
  author       = {{ARRI}},
  year         = 2012,
}
@misc{ASTMInternational1989a,
  title        = {{{ASTM D1535-89}} - {{Standard Practice}} for
    {{Specifying Color}} by the {{Munsell System}}},
  author       = {{ASTM International}},
  year         = 1989,
  pages        = {1--29},
  urldate      = {2014-09-25},
  keywords     = {color,D1535,Munsell,Munsell color order
    system,Munsell notation},
}
@misc{ASTMInternational2007,
  title        = {{{ASTM D2244-07}} - {{Standard Practice}} for
    {{Calculation}} of {{Color Tolerances}} and {{Color Differences}}
    from {{Instrumentally Measured Color Coordinates}}},
  author       = {{ASTM International}},
  year         = 2007,
  volume       = {i},
  pages        = {1--10},
  doi          = {10.1520/D2244-16},
}
@misc{ASTMInternational2008a,
  title        = {{{ASTM D1535-08e1}} - {{Standard Practice}} for
    {{Specifying Color}} by the {{Munsell System}}},
  author       = {{ASTM International}},
  year         = 2008,
  doi          = {10.1520/D1535-08E01},
}
@misc{ASTMInternational2011a,
  title        = {{{ASTM E2022-11}} - {{Standard Practice}} for
    {{Calculation}} of {{Weighting Factors}} for {{Tristimulus
    Integration}}},
  author       = {{ASTM International}},
  year         = 2011,
  pages        = {1--10},
  doi          = {10.1520/E2022-11},
  abstract     = {This standard is issued under the fixed designation
    E2022; the number immediately following the designation indicates
    the year of original adoption or, in the case of revision, the
    year of last revision. A number in parentheses indicates the year
    of last reapproval. A superscript epsilon) indicates an editorial
    change since the last revision or reapproval.},
}
@misc{ASTMInternational2015,
  title        = {{{ASTM E313-15e1}} - {{Standard Practice}} for
    {{Calculating Yellowness}} and {{Whiteness Indices}} from
    {{Instrumentally Measured Color Coordinates}}},
  author       = {{ASTM International}},
  year         = 2015,
  doi          = {10.1520/E0313-20},
}
@misc{ASTMInternational2015b,
  title        = {{{ASTM E308-15}} - {{Standard Practice}} for
    {{Computing}} the {{Colors}} of {{Objects}} by {{Using}} the {{CIE
    System}}},
  author       = {{ASTM International}},
  year         = 2015,
  pages        = {1--47},
  doi          = {10.1520/E0308-15},
}
@article{Abebe2017,
  title        = {Perceptual {{Lightness Modeling}} for
    {{High-Dynamic-Range Imaging}}},
  author       = {Abebe, Mekides Assefa and Pouli, Tania and Larabi,
    Mohamed-Chaker and Reinhard, Erik},
  year         = 2017,
  month        = jul,
  journal      = {ACM Transactions on Applied Perception},
  volume       = 15,
  number       = 1,
  pages        = {1--19},
  issn         = 15443558,
  doi          = {10.1145/3086577},
  abstract     = {\textcopyright{} 2017 ACM. The human visual system
    (HVS) non-linearly processes light from the real world, allowing
    us to perceive detail over a wide range of illumination. Although
    models that describe this non-linearity are constructed based on
    psycho-visual experiments, they generally apply to a limited range
    of illumination and therefore may not fully explain the behavior
    of theHVS under more extreme illumination conditions. We propose a
    modified experimental protocol for measuring visual responses to
    emissive stimuli that do not require participant training, nor
    requiring the exclusion of non-expert participants. Furthermore,
    the protocol can be applied to stimuli covering an extended
    luminance range. Based on the outcome of our experiment, we
    propose a new model describing lightness response over an extended
    luminance range. The model can be integrated with existing color
    appearance models or perceptual color spaces. To demonstrate the
    effectiveness of our model in high dynamic range applications, we
    evaluate its suitability for dynamic range expansion relative to
    existing solutions.},
}
@misc{AdobeSystems2005a,
  title        = {Adobe {{RGB}} (1998) {{Color Image Encoding}}},
  author       = {{Adobe Systems}},
  year         = 2005,
}
@misc{AdobeSystems2013,
  title        = {Adobe {{DNG Software Development Kit}} ({{SDK}}) -
    1.3.0.0 -
    Dng\_sdk\_1\_3/Dng\_sdk/Source/Dng\_temperature.Cpp::Dng\_temperature::{{Set}}\_xy\_coord},
  author       = {{Adobe Systems}},
  year         = 2013,
}
@misc{AdobeSystems2013a,
  title        = {Adobe {{DNG Software Development Kit}} ({{SDK}}) -
    1.3.0.0 -
    Dng\_sdk\_1\_3/Dng\_sdk/Source/Dng\_temperature.Cpp::Dng\_temperature::Xy\_coord},
  author       = {{Adobe Systems}},
  year         = 2013,
}
@misc{AdobeSystems2013b,
  title        = {Cube {{LUT Specification}}},
  author       = {{Adobe Systems}},
  year         = 2013,
  keywords     = {Iridas,look-up table,specification},
}
@misc{AppleInc.2019,
  title        = {{{displayP3}}},
  author       = {{Apple Inc.}},
  year         = 2019,
  urldate      = {2019-12-18},
  howpublished = {https://developer.apple.com/documentation/coregraphics/cgcolorspace/1408916-displayp3},
}
@misc{AssociationofRadioIndustriesandBusinesses2015a,
  title        = {Essential {{Parameter Values}} for the {{Extended
    Image Dynamic Range Television}} ({{EIDRTV}}) {{System}} for
    {{Programme Production}}},
  author       = {{Association of Radio Industries and Businesses}},
  year         = 2015,
}
@misc{BabelColor2012b,
  title        = {The {{ColorChecker}} (since 1976!)},
  author       = {{BabelColor}},
  year         = 2012,
  urldate      = {2014-09-26},
  howpublished = {http://www.babelcolor.com/main\_level/ColorChecker.htm},
}
@misc{BabelColor2012c,
  title        = {{{ColorChecker RGB}} and Spectra},
  author       = {{BabelColor}},
  year         = 2012,
}
@book{Barten1999,
  title        = {Contrast {{Sensitivity}} of the {{Human Eye}} and
    {{Its Effects}} on {{Image Quality}}},
  author       = {Barten, Peter G.},
  year         = 1999,
  month        = dec,
  number       = 1999,
  publisher    = {{SPIE}},
  issn         = 10924388,
  doi          = {10.1117/3.353254},
  isbn         = {978-0-8194-7849-8},
  pmid         = 18723593,
}
@inproceedings{Barten2003,
  title        = {Formula for the Contrast Sensitivity of the Human
    Eye},
  booktitle    = {Proceedings of {{SPIE}}},
  author       = {Barten, Peter G. J.},
  editor       = {Miyake, Yoichi and Rasmussen, D. Rene},
  year         = 2003,
  month        = dec,
  volume       = 5294,
  pages        = {231--238},
  issn         = {0277786X},
  doi          = {10.1117/12.537476},
  abstract     = {The contrast sensitivity of the human eye and its
    dependence on luminance and display size is described on the basis
    of internal noise in the visual system. With the addition of a
    global description of the optical MTF of the eye, a complete
    physical model is presented for the spatial contrast sensitivity
    function. Calculation results obtained with this model are
    compared with measurements published in literature.},
  isbn         = {0-8194-3496-5},
  keywords     = {contrast sensitivity,csf,human eye,orientation
    angle,standard observer,surround luminance},
}
@article{Bianco2010a,
  title        = {Two New von {{Kries}} Based Chromatic Adaptation
    Transforms Found by Numerical Optimization},
  author       = {Bianco, S. and Schettini, R.},
  year         = 2010,
  month        = jun,
  journal      = {Color Research \& Application},
  volume       = 35,
  number       = 3,
  pages        = {184--192},
  issn         = 03612317,
  doi          = {10.1002/col.20573},
  urldate      = {2014-09-26},
}
@misc{BlackmagicDesign2020,
  title        = {{{DaVinci Wide Gamut}} - {{DaVinci Resolve Studio}}
    17 {{Public Beta}} 1},
  author       = {{Blackmagic Design}},
  year         = 2020,
  month        = nov,
}
@misc{BlackmagicDesign2020a,
  title        = {Wide {{Gamut Intermediate DaVinci Resolve}}},
  author       = {{Blackmagic Design}},
  year         = 2020,
  urldate      = {2020-12-12},
}
@misc{BlackmagicDesign2021,
  title        = {Blackmagic {{Generation}} 5 {{Color Science}}},
  author       = {{Blackmagic Design}},
  year         = 2021,
}
@article{Bodhaine1999a,
  title        = {On {{Rayleigh Optical Depth Calculations}}},
  author       = {Bodhaine, Barry A. and Wood, Norman B. and Dutton,
    Ellsworth G. and Slusser, James R.},
  year         = 1999,
  month        = nov,
  journal      = {Journal of Atmospheric and Oceanic Technology},
  volume       = 16,
  number       = 11,
  pages        = {1854--1861},
  issn         = {0739-0572},
  doi          = {10.1175/1520-0426(1999)016{$<$}1854:ORODC{$>$}2.0.CO;2},
  urldate      = {2014-09-25},
  abstract     = {Many different techniques are used for the
    calculation of Rayleigh optical depth in the atmosphere. In some
    cases differences among these techniques can be important,
    especially in the UV region of the spectrum and under clean
    atmospheric conditions. The authors recommend that the calculation
    of Rayleigh optical depth be approached by going back to the first
    principles of Rayleigh scattering theory rather than the variety
    of curve- fitting techniques currently in use. A survey of the
    literature was conducted in order to determine the latest values
    of the physical constants necessary and to review the methods
    available for the calculation of Rayleigh optical depth. The
    recommended approach requires the accurate calculation of the
    refractive index of air based on the latest published
    measurements. Calculations estimating Rayleigh optical depth
    should be done as accurately as possible because the inaccuracies
    that arise can equal or even exceed other quantities being
    estimated, such as aerosol optical depth, particularly in the UV
    region of the spectrum. All of the calculations are simple enough
    to be done easily in a spreadsheet.},
}
@misc{Borer2017a,
  title        = {Private {{Discussion}} with {{Mansencal}}, {{T}}.
    and {{Shaw}}, {{N}}.},
  author       = {Borer, Tim},
  year         = 2017,
}
@misc{Bourkea,
  title        = {Intersection Point of Two Line Segments in 2
    Dimensions},
  author       = {Bourke, Paul},
  urldate      = {2016-01-15},
  howpublished = {http://paulbourke.net/geometry/pointlineplane/},
}
@misc{Bourkeb,
  title        = {Trilinear {{Interpolation}}},
  author       = {Bourke, Paul},
  urldate      = {2018-01-13},
  howpublished = {http://paulbourke.net/miscellaneous/interpolation/},
}
@article{Breneman1987b,
  title        = {Corresponding Chromaticities for Different States of
    Adaptation to Complex Visual Fields},
  author       = {Breneman, Edwin J.},
  year         = 1987,
  month        = jun,
  journal      = {Journal of the Optical Society of America A},
  volume       = 4,
  number       = 6,
  pages        = 1115,
  issn         = {1084-7529},
  doi          = {10.1364/JOSAA.4.001115},
  urldate      = {2014-09-27},
  abstract     = {While each of his or her two eyes was independently
    adapted to a different illuminant in viewing a complex visual
    field, each of a number of observers matched a series of test
    colors seen by one eye with a juxtaposed variable stimulus seen by
    the other eye. The 2 degrees test and matching stimuli were
    located centrally in the complex adapting field, which subtended
    an angle of 31 degrees X 24 degrees. In making the matches, the
    observer viewed the test and matching stimuli for a series of
    brief intervals (approximately 1 sec) while viewing the complex
    adapting field with normal eye movements. Nine experiments were
    performed with different pairs of illuminants and different
    illuminances ranging from that of an average living room to that
    of a scene illuminated with hazy sunlight. In three other
    experiments each of the observer's two eyes was adapted to a
    different illuminance of D55. The amount of adaptation was more
    nearly complete at high levels of illuminance than at low levels,
    and the proportional amount of adaptation was less for the "blue"
    receptors. When adaptation coefficients were determined from the
    actual adaptation differences (e.g., from corresponding
    tristimulus values for matching neutrals) rather than from the
    adapting illuminants, a linear von Kries transformation based on
    experimentally determined visual primaries gave corresponding
    chromaticities that were in good agreement with the results
    obtained in each of the chromatic-adaptation experiments, except
    at the lowest illuminances. The results of the experiments in
    which each eye was adapted to different levels of the same
    illuminant indicated again that adaptation to the different levels
    was incomplete, the proportional amount of adaptation being less
    at low illuminances and for the "blue" receptors. This caused a
    change in chromatic adaptation with the level of illuminance even
    when the chromaticities of the adapting lights were equal. The
    results of these experiments also indicated that higher purities
    are needed in order to produce the same absolute color appearances
    at low levels of illuminance.},
  pmid         = 3598755,
}
@article{Brill2008a,
  title        = {Repairing Gamut Problems in {{CIECAM02}}: {{A}}
    Progress Report},
  author       = {Brill, Michael H. and Susstrunk, Sabine},
  year         = 2008,
  month        = oct,
  journal      = {Color Research \& Application},
  volume       = 33,
  number       = 5,
  pages        = {424--426},
  issn         = 03612317,
  doi          = {10.1002/col.20432},
  urldate      = {2014-10-02},
  abstract     = {The color-appearance model CIECAM02 has several
    problems. which can result in mathematical instabilities, due to
    the position of the chromatic-adaptation primaries relative to the
    spectrum locus and to the presumed physiological cone primaries.
    To keep a corresponding (adapted) color within the positive gamut
    given by the chromatic adaptation primaries, the gamut must he
    within the cone primary octant. To contain adapted colors within
    the positive cone-primary octan, it suffices to truncate the
    action of adaptation at the boundary of that octant. Such
    modifications may be needed to avoid the mathematical problems in
    CIECAM02.},
  keywords     = {Chromatic adaptation,CIECAM02,Color
    appearance,Gamut,Model,Primary},
}
@misc{Broadbent2009a,
  title        = {Calculation from the {{Original Experimental Data}}
    of the {{Cie}} 1931 {{RGB Standard Observer Spectral Chromaticity
    Co-Ordinates}} and {{Color Matching Functions}}.},
  author       = {Broadbent, A. D.},
  year         = 2009,
  journal      = {Qu\'ebec, Canada: D\'epartement de g\'enie chimique,
    \ldots},
  pages        = {1--17},
  urldate      = {2014-06-12},
  abstract     = {This paper describes all the steps in the
    calculations of the CIE 1931 RGB spectral chromaticity
    co-ordinates and color matching functions starting from the
    initial experimental data of W. D. Wright and J. Guild. Sufficient
    information is given to allow the reader to reproduce and verify
    the results obtained at each stage of the calculations and to
    critically analyze the procedures used. In some instances, the
    available literature only provides limited descriptions of the
    actual steps in the calculations and, in others, important data
    were not published. Nevertheless, it has been possible to more or
    less reproduce the entire sequence of calculations. All the tables
    of numerical data are given in the accompanying computer worksheet
    file CIE1931\_RGB.xls.},
  howpublished = {http://www.cis.rit.edu/mcsl/research/1931.php},
}
@book{Burger2009b,
  title        = {Principles of {{Digital Image Processing}}},
  author       = {Burger, Wilhelm and Burge, Mark James},
  year         = 2009,
  publisher    = {{Springer London}},
  address      = {{London}},
  doi          = {10.1007/978-1-84800-195-4},
  isbn         = {978-1-84800-194-7},
}
@book{CIEDivision12022,
  title        = {{{CIE}} 248:2022 {{The CIE}} 2016 {{Colour
    Appearance Model}} for {{Colour Management Systems}}: {{CIECAM16}}},
  author       = {{CIE Division 1} and {CIE Division 8}},
  year         = 2022,
  publisher    = {{Commission Internationale de l'Eclairage}},
  isbn         = {978-3-902842-94-7},
}
@book{CIETC1-321994b,
  title        = {{{CIE}} 109-1994 {{A Method}} of {{Predicting
    Corresponding Colours}} under {{Different Chromatic}} and
    {{Illuminance Adaptations}}},
  author       = {{CIE TC 1-32}},
  year         = 1994,
  publisher    = {{Commission Internationale de l'Eclairage}},
  isbn         = {978-3-900734-51-0},
}
@book{CIETC1-362006a,
  title        = {{{CIE}} 170-1:2006 {{Fundamental Chromaticity
    Diagram}} with {{Physiological Axes}} - {{Part}} 1},
  author       = {{CIE TC 1-36}},
  year         = 2006,
  publisher    = {{Commission Internationale de l'Eclairage}},
  isbn         = {978-3-901906-46-6},
}
@incollection{CIETC1-382005e,
  title        = {9. {{INTERPOLATION}}},
  booktitle    = {{{CIE}} 167:2005 {{Recommended Practice}} for
    {{Tabulating Spectral Data}} for {{Use}} in {{Colour
    Computations}}},
  author       = {{CIE TC 1-38}},
  year         = 2005,
  pages        = {14--19},
  isbn         = {978-3-901906-41-1},
}
@incollection{CIETC1-382005f,
  title        = {9.2.4 {{Method}} of Interpolation for Uniformly
    Spaced Independent Variable},
  booktitle    = {{{CIE}} 167:2005 {{Recommended Practice}} for
    {{Tabulating Spectral Data}} for {{Use}} in {{Colour
    Computations}}},
  author       = {{CIE TC 1-38}},
  year         = 2005,
  pages        = {1--27},
  isbn         = {978-3-901906-41-1},
}
@incollection{CIETC1-382005g,
  title        = {{{EXTRAPOLATION}}},
  booktitle    = {{{CIE}} 167:2005 {{Recommended Practice}} for
    {{Tabulating Spectral Data}} for {{Use}} in {{Colour
    Computations}}},
  author       = {{CIE TC 1-38}},
  year         = 2005,
  pages        = {19--20},
  isbn         = {978-3-901906-41-1},
}
@incollection{CIETC1-382005h,
  title        = {Table {{V}}. {{Values}} of the c-Coefficients of
    {{Equ}}.s 6 and 7.},
  booktitle    = {{{CIE}} 167:2005 {{Recommended Practice}} for
    {{Tabulating Spectral Data}} for {{Use}} in {{Colour
    Computations}}},
  author       = {{CIE TC 1-38}},
  year         = 2005,
  pages        = 19,
  isbn         = {978-3-901906-41-1},
}
@incollection{CIETC1-482004,
  title        = {{{EXPLANATORY COMMENTS}} - 5},
  booktitle    = {{{CIE}} 015:2004 {{Colorimetry}}, 3rd {{Edition}}},
  author       = {{CIE TC 1-48}},
  year         = 2004,
  pages        = {68--68},
  isbn         = {978-3-901906-33-6},
}
@book{CIETC1-482004h,
  title        = {{{CIE}} 015:2004 {{Colorimetry}}, 3rd {{Edition}}},
  author       = {{CIE TC 1-48}},
  year         = 2004,
  journal      = {CIE 015:2004 Colorimetry, 3rd Edition},
  publisher    = {{Commission Internationale de l'Eclairage}},
  isbn         = {978-3-901906-33-6},
}
@incollection{CIETC1-482004i,
  title        = {{{APPENDIX E}}. {{INFORMATION ON THE USE OF
    PLANCK}}'{{S EQUATION FOR STANDARD AIR}}},
  booktitle    = {{{CIE}} 015:2004 {{Colorimetry}}, 3rd {{Edition}}},
  author       = {{CIE TC 1-48}},
  year         = 2004,
  pages        = {77--82},
  isbn         = {978-3-901906-33-6},
}
@incollection{CIETC1-482004j,
  title        = {{{CIE}} 1976 Uniform Chromaticity Scale Diagram
    ({{UCS}} Diagram)},
  booktitle    = {{{CIE}} 015:2004 {{Colorimetry}}, 3rd {{Edition}}},
  author       = {{CIE TC 1-48}},
  year         = 2004,
  pages        = 24,
  isbn         = {978-3-901906-33-6},
}
@incollection{CIETC1-482004k,
  title        = {The Evaluation of Whiteness},
  booktitle    = {{{CIE}} 015:2004 {{Colorimetry}}, 3rd {{Edition}}},
  author       = {{CIE TC 1-48}},
  year         = 2004,
  pages        = 24,
  isbn         = {978-3-901906-33-6},
}
@incollection{CIETC1-482004l,
  title        = {Extrapolation},
  booktitle    = {{{CIE}} 015:2004 {{Colorimetry}}, 3rd {{Edition}}},
  author       = {{CIE TC 1-48}},
  year         = 2004,
  pages        = 24,
  isbn         = {978-3-901906-33-6},
}
@incollection{CIETC1-482004m,
  title        = {{{CIE}} 1976 Uniform Colour Spaces},
  booktitle    = {{{CIE}} 015:2004 {{Colorimetry}}, 3rd {{Edition}}},
  author       = {{CIE TC 1-48}},
  year         = 2004,
  pages        = 24,
  isbn         = {978-3-901906-33-6},
}
@incollection{CIETC1-482004n,
  title        = {3.1 {{Recommendations}} Concerning Standard Physical
    Data of Illuminants},
  booktitle    = {{{CIE}} 015:2004 {{Colorimetry}}, 3rd {{Edition}}},
  author       = {{CIE TC 1-48}},
  year         = 2004,
  pages        = {12--13},
  isbn         = {978-3-901906-33-6},
}
@incollection{CIETC1-482004o,
  title        = {9.1 {{Dominant}} Wavelength and Purity},
  booktitle    = {{{CIE}} 015:2004 {{Colorimetry}}, 3rd {{Edition}}},
  author       = {{CIE TC 1-48}},
  year         = 2004,
  pages        = {32--33},
  isbn         = {978-3-901906-33-6},
}
@book{CIETC1-902017,
  title        = {{CIE 2017 colour fidelity index for accurate
    scientific use}},
  author       = {{CIE TC 1-90}},
  year         = 2017,
  series       = {{Technical report / CIE}},
  number       = 224,
  publisher    = {{CIE Central Bureau}},
  address      = {{Vienna}},
  isbn         = {978-3-902842-61-9},
  langid       = {eng fre ger},
  annotation   = {OCLC: 988568299},
}
@misc{CIEce,
  title        = {{{CIE}} 15:2004 {{Tables Data}}},
  author       = {{CIE}},
  year         = 2004,
}
@misc{CIEcf,
  title        = {{{CIE Spectral Data}}},
  author       = {{CIE}},
}
@misc{CVRLp,
  title        = {{{CIE}} (2012) 10-Deg {{XYZ}}
    "Physiologically-Relevant" Colour Matching Functions},
  author       = {{CVRL}},
  urldate      = {2014-06-25},
  howpublished = {http://www.cvrl.org/database/text/cienewxyz/cie2012xyz10.htm},
}
@misc{CVRLq,
  title        = {Luminous Efficiency},
  author       = {{CVRL}},
  urldate      = {2014-04-19},
  howpublished = {http://www.cvrl.org/lumindex.htm},
}
@misc{CVRLr,
  title        = {New {{CIE XYZ}} Functions Transformed from the
    {{CIE}} (2006) {{LMS}} Functions},
  author       = {{CVRL}},
  urldate      = {2014-02-24},
  howpublished = {http://cvrl.ioo.ucl.ac.uk/ciexyzpr.htm},
}
@misc{CVRLs,
  title        = {Older {{CIE Standards}}},
  author       = {{CVRL}},
  urldate      = {2014-02-24},
  howpublished = {http://cvrl.ioo.ucl.ac.uk/cie.htm},
}
@misc{CVRLt,
  title        = {Stiles \& {{Burch}} Individual 10-Deg Colour
    Matching Data},
  author       = {{CVRL}},
  urldate      = {2014-02-24},
  howpublished = {http://www.cvrl.org/stilesburch10\_ind.htm},
}
@misc{CVRLu,
  title        = {Cone {{Fundamentals}}},
  author       = {Stockman, Andrew and Sharpe, Lindsay T.},
  year         = 2000,
  urldate      = {2014-06-23},
  howpublished = {http://www.cvrl.org/cones.htm},
}
@misc{CVRLv,
  title        = {{{CIE}} (2012) 2-Deg {{XYZ}}
    "Physiologically-Relevant" Colour Matching Functions},
  author       = {{CVRL}},
  urldate      = {2014-06-25},
  howpublished = {http://www.cvrl.org/database/text/cienewxyz/cie2012xyz2.htm},
}
@misc{CVRLw,
  title        = {Stiles \& {{Burch}} Individual 2-Deg Colour Matching
    Data},
  author       = {{CVRL}},
  urldate      = {2014-02-24},
  howpublished = {http://www.cvrl.org/stilesburch2\_ind.htm},
}
@misc{Cabello2015,
  title        = {{{PlaneGeometry}}.Js},
  author       = {Cabello, Ricardo},
  urldate      = {2015-05-12},
  howpublished = {https://github.com/mrdoob/three.js/blob/dev/src/geometries/PlaneGeometry.js},
}
@misc{Canon2014a,
  title        = {{{EOS C500 Firmware Update}}},
  author       = {{Canon}},
  year         = 2014,
  urldate      = {2016-08-27},
  howpublished = {https://www.usa.canon.com/internet/portal/us/home/explore/product-showcases/cameras-and-lenses/cinema-eos-firmware/c500},
}
@misc{Canon2016,
  title        = {Input {{Transform Version}} 201612 for {{EOS C300
    Mark II}}},
  author       = {{Canon}},
  year         = 2016,
  urldate      = {2016-08-23},
  howpublished = {https://www.usa.canon.com/internet/portal/us/home/support/details/cameras/cinema-eos/eos-c300-mark-ii},
}
@misc{Canon2020,
  title        = {Input {{Transform Version}} 202007 for {{EOS C300
    Mark II}}},
  author       = {{Canon}},
  year         = 2020,
  urldate      = {2023-07-16},
  howpublished = {https://www.usa.canon.com/internet/portal/us/home/support/details/cameras/cinema-eos/eos-c300-mark-ii},
}
@article{Cao2013,
  title        = {Comparison of the Performance of Inverse
    Transformation Methods from {{OSA-UCS}} to {{CIEXYZ}}},
  author       = {Cao, Renbo and Trussell, H Joel and Shamey, Renzo},
  year         = 2013,
  month        = aug,
  journal      = {Journal of the Optical Society of America A},
  volume       = 30,
  number       = 8,
  pages        = 1508,
  issn         = {1084-7529},
  doi          = {10.1364/JOSAA.30.001508},
  abstract     = {The Optical Society of America's Uniform Color
    Scales (OSA-UCS) is one of the color spaces that most closely
    approximate a "true" uniform color space. Different techniques
    have been used to convert OSA-UCS-based color specification
    parameters, L, j, and g, to the CIE tristimulus values, X, Y, and
    Z. However, none of these methods provides a direct method of
    inverting OSA-UCS to CIEXYZ values. Thus, numerical algorithms,
    such as the Newton-Raphson method, have been employed to obtain
    the transformations. The relative low accuracy and long
    computation time of this method makes it undesirable for practical
    applications. An artificial neural network (ANN) was employed to
    convert OSA-UCS to CIEXYZ. Its performance was compared with that
    of numerical methods. After optimization, ANN gave a better
    performance with a mean error (DeltaEXYZ) of 1.0x10(-4) and a
    conversion time of less than 1 s for 1891 samples.},
  isbn         = {1520-8532 (Electronic)\textbackslash r1084-7529
    (Linking)},
  pmid         = 24323208,
}
@techreport{Carter2018,
  title        = {{{CIE}} 015:2018 {{Colorimetry}}, 4th {{Edition}}},
  author       = {Carter, E.C. and Schanda, J.D. and Hirschler, R. and
    Jost, S. and Luo, M.R. and Melgosa, M. and Ohno, Y. and Pointer,
    M.R. and Rich, D.C. and Vienot, F. and Whitehead, L. and Wold,
    J.H.},
  year         = 2018,
  month        = oct,
  address      = {{Vienna}},
  institution  = {{International Commission on Illumination}},
  doi          = {10.25039/TR.015.2018},
  isbn         = 9783902842138,
}
@misc{Castro2014a,
  title        = {Numpy: {{Fastest}} Way of Computing Diagonal for
    Each Row of a 2d Array},
  author       = {Castro, Saullo},
  year         = 2014,
  urldate      = {2014-08-22},
  howpublished = {http://stackoverflow.com/questions/26511401/numpy-fastest-way-of-computing-diagonal-for-each-row-of-a-2d-array/26517247\#26517247},
}
@article{Centore2012a,
  title        = {An Open-Source Inversion Algorithm for the
    {{Munsell}} Renotation},
  author       = {Centore, Paul},
  year         = 2012,
  month        = dec,
  journal      = {Color Research \& Application},
  volume       = 37,
  number       = 6,
  pages        = {455--464},
  issn         = 03612317,
  doi          = {10.1002/col.20715},
  urldate      = {2014-09-26},
  keywords     = {algorithm,inverse renotation,munsell,open
    source,renotation},
}
@misc{Centore2014k,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{MunsellRenotationRoutines}}/{{MunsellHueToASTMHue}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centore2014l,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{MunsellSystemRoutines}}/{{LinearVsRadialInterpOnRenotationOvoid}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centore2014m,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{MunsellRenotationRoutines}}/{{MunsellToxyY}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centore2014n,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{MunsellRenotationRoutines}}/{{FindHueOnRenotationOvoid}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centore2014o,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{MunsellSystemRoutines}}/{{BoundingRenotationHues}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centore2014p,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{MunsellRenotationRoutines}}/{{xyYtoMunsell}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centore2014q,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{MunsellRenotationRoutines}}/{{MunsellToxyForIntegerMunsellValue}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centore2014r,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{MunsellRenotationRoutines}}/{{MaxChromaForExtrapolatedRenotation}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centore2014s,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{MunsellRenotationRoutines}}/{{MunsellHueToChromDiagHueAngle}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centore2014t,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{MunsellRenotationRoutines}}/{{ChromDiagHueAngleToMunsellHue}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centore2014u,
  title        = {{{MunsellAndKubelkaMunkToolboxApr2014}} -
    {{GeneralRoutines}}/{{CIELABtoApproxMunsellSpec}}.m},
  author       = {Centore, Paul},
  year         = 2014,
}
@misc{Centorea,
  title        = {The {{Munsell}} and {{Kubelka-Munk Toolbox}}},
  author       = {Centore, Paul},
  urldate      = {2018-01-23},
  howpublished = {http://www.munsellcolourscienceforpainters.com/MunsellAndKubelkaMunkToolbox/MunsellAndKubelkaMunkToolbox.html},
}
@misc{Chamberlain2015,
  title        = {{{LUT}} Documentation (to Create from Another
    Program)},
  author       = {Chamberlain, Peter},
  year         = 2015,
  urldate      = {2018-08-23},
  howpublished = {https://forum.blackmagicdesign.com/viewtopic.php?f=21\&t=40284\#p232952},
}
@article{Cheung2004,
  title        = {A Comparative Study of the Characterisation of
    Colour Cameras by Means of Neural Networks and Polynomial
    Transforms},
  author       = {Cheung, Vien and Westland, Stephen and Connah, David
    and Ripamonti, Caterina},
  year         = 2004,
  journal      = {Coloration Technology},
  volume       = 120,
  number       = 1,
  pages        = {19--25},
  issn         = 14723581,
  doi          = {10.1111/j.1478-4408.2004.tb00201.x},
  abstract     = {The proliferation of low-cost colour imaging devices
    in the consumer market has led to a greater need to transfer
    images from one medium or device to another without loss of colour
    fidelity. A common solution is to characterise each device in
    terms of its CIE tristimulus values. In this paper two general
    techniques, artificial neural networks and polynomial transforms,
    are compared for their usefulness in characterising colour
    cameras. The neural and polynomial techniques are shown to give
    approximately similar performance once the parameters of the
    models are optimised. Since neural networks can be difficult and
    time-consuming to train, it is concluded that polynomial
    transforms offer the better alternative for camera
    characterisation.},
}
@misc{Colblindora,
  title        = {Deuteranopia - {{Red-Green Color Blindness}}},
  author       = {{Colblindor}},
  urldate      = {2015-07-04},
  howpublished = {http://www.color-blindness.com/deuteranopia-red-green-color-blindness/},
}
@misc{Colblindorb,
  title        = {Protanopia - {{Red-Green Color Blindness}}},
  author       = {{Colblindor}},
  urldate      = {2015-07-04},
  howpublished = {http://www.color-blindness.com/protanopia-red-green-color-blindness/},
}
@misc{Colblindorc,
  title        = {Tritanopia - {{Blue-Yellow Color Blindness}}},
  author       = {{Colblindor}},
  urldate      = {2015-07-04},
  howpublished = {http://www.color-blindness.com/tritanopia-blue-yellow-color-blindness/},
}
@misc{Cooper2022,
  title        = {{{ARRI LogC4 Logarithmic Color Space SPECIFICATION}}},
  author       = {Cooper, Sean and Brendel, Harald},
  year         = 2022,
  urldate      = {2022-10-24},
}
@misc{Cottrella,
  title        = {The {{Russell RGB}} Working Color Space},
  author       = {Cottrell, Russell},
}
@article{Cowan2004,
  title        = {Contrast {{Sensitivity Experiment}} to {{Determine}}
    the {{Bit Depth}} for {{Digital Cinema}}},
  author       = {Cowan, Matthew and Kennel, Glenn and Maier, Thomas
    and Walker, Brad},
  year         = 2004,
  month        = sep,
  journal      = {SMPTE Motion Imaging Journal},
  volume       = 113,
  number       = 9,
  pages        = {281--292},
  issn         = {2160-2492},
  doi          = {10.5594/j11549},
  abstract     = {The SMPTE Color ad hoc group was formed in 2001
    (under DC28.2) to investigate the colorimetric requirements for
    the Digital Cinema Distribution Master (DCDM). A draft
    specification on color image encoding was published in September
    2002 that recommended the use of XYZ color space, a gamma 1/2.6
    transfer function, and 12 bits per color. With the support of
    Digital Cinema Initiatives (DCI), a test was designed to verify
    these color image encoding parameters. This paper reports the
    results of the contrast sensitivity experiment, which showed that
    many of our observers could see a modulation corresponding to a
    one code value change with 10-bit encoding, but few observers
    would see a one-code value change with 12-bit encoding. This
    result matches the results of published contrast sensitivity
    experiments.},
}
@article{Cui2002,
  ids          = {Cui2002a},
  title        = {Uniform Colour Spaces Based on the {{DIN99}}
    Colour-Difference Formula},
  author       = {Cui, G. and Luo, M. R. and Rigg, B. and Roesler, G.
    and Witt, K.},
  year         = 2002,
  journal      = {Color Research \& Application},
  volume       = 27,
  number       = 4,
  pages        = {282--290},
  issn         = {1520-6378},
  doi          = {10.1002/col.10066},
  urldate      = {2021-01-21},
  abstract     = {Several colour-difference formulas such as CMC,
    CIE94, and CIEDE2000 have been developed by modifying CIELAB.
    These formulas give much better fits for experimental data based
    on small colour differences than does CIELAB. None of these has an
    associated uniform colour space (UCS). The need for a UCS is
    demonstrated by the widespread use of the a*b* diagram despite the
    lack of uniformity. This article describes the development of
    formulas, with the same basic structure as the DIN99 formula, that
    predict the experimental data sets better than do the CMC and
    CIE94 colour-difference formulas and only slightly worse than
    CIEDE2000 (which was optimized on the experimental data). However,
    these formulas all have an associated UCS. The spaces are similar
    in form to L*a*b*. \textcopyright{} 2002 Wiley Periodicals, Inc.
    Col Res Appl, 27, 282\textendash 290, 2002; Published online in
    Wiley InterScience (www.interscience.wiley.com). DOI
    10.1002/col.10066},
  copyright    = {Copyright \textcopyright{} 2002 Wiley Periodicals,
    Inc.},
  langid       = {english},
  keywords     = {colour discrimination ellipses,colour-difference
    metrics,uniform colour space},
}
@misc{DJI2017,
  title        = {White {{Paper}} on {{D-Log}} and {{D-Gamut}} of
    {{DJI Cinema Color System}}},
  author       = {{Dji}},
  year         = 2017,
  pages        = {1--5},
}
@article{Darrodi2015a,
  title        = {Reference Data Set for Camera Spectral Sensitivity
    Estimation},
  author       = {Darrodi, Maryam Mohammadzadeh and Finlayson, Graham
    and Goodman, Teresa and Mackiewicz, Michal},
  year         = 2015,
  month        = mar,
  journal      = {Journal of the Optical Society of America A},
  volume       = 32,
  number       = 3,
  pages        = 381,
  issn         = {1084-7529},
  doi          = {10.1364/JOSAA.32.000381},
}
@article{David2015,
  title        = {Development of the {{IES}} Method for Evaluating the
    Color Rendition of Light Sources},
  author       = {David, Aurelien and Fini, Paul T. and Houser, Kevin
    W. and Ohno, Yoshi and Royer, Michael P. and Smet, Kevin A. G. and
    Wei, Minchen and Whitehead, Lorne},
  year         = 2015,
  month        = jun,
  journal      = {Optics Express},
  volume       = 23,
  number       = 12,
  pages        = 15888,
  issn         = {1094-4087},
  doi          = {10.1364/OE.23.015888},
  urldate      = {2021-05-22},
  abstract     = {We have developed a two-measure system for
    evaluating light sources' color rendition that builds upon
    conceptual progress of numerous researchers over the last two
    decades. The system quantifies the color fidelity and color gamut
    (change in object chroma) of a light source in comparison to a
    reference illuminant. The calculations are based on a newly
    developed set of reflectance data from real samples uniformly
    distributed in color space (thereby fairly representing all
    colors) and in wavelength space (thereby precluding artificial
    optimization of the color rendition scores by spectral
    engineering). The color fidelity score Rf is an improved version
    of the CIE color rendering index. The color gamut score Rg is an
    improved version of the Gamut Area Index. In combination, they
    provide two complementary assessments to guide the optimization of
    future light sources. This method summarizes the findings of the
    Color Metric Task Group of the Illuminating Engineering Society of
    North America (IES). It is adopted in the upcoming IES TM-30-2015,
    and is proposed for consideration with the International
    Commission on Illumination (CIE).},
  langid       = {english},
}
@article{Davis2010a,
  title        = {Color Quality Scale},
  author       = {Davis, Wendy and Ohno, Yoshiro},
  year         = 2010,
  month        = mar,
  journal      = {Optical Engineering},
  volume       = 49,
  number       = 3,
  pages        = 033602,
  issn         = {0091-3286},
  doi          = {10.1117/1.3360335},
  abstract     = {The color rendering index (CRI) has been shown to
    have deficiencies when applied to white
    light-emitting-diode\textendash based sources. Furthermore,
    evidence suggests that the restricted scope of the CRI
    unnecessarily penalizes some light sources with desirable color
    qualities. To solve the problems of the CRI and include other
    dimensions of color quality, the color quality scale (CQS) has
    been developed. Although the CQS uses many of elements of the CRI,
    there are a number of fundamental differences. Like the CRI, the
    CQS is a test-samples method that compares the appearance of a set
    of reflective samples when illuminated by the test lamp to their
    appearance under a reference illuminant. The CQS uses a larger set
    of reflective samples, all of high chroma, and combines the color
    differences of the samples with a root mean square. Additionally,
    the CQS does not penalize light sources for causing increases in
    the chroma of object colors but does penalize sources with smaller
    rendered color gamut areas. The scale of the CQS is converted to
    span 0-100, and the uniform object color space and chromatic
    adaptation transform used in the calculations are updated.
    Supplementary scales have also been developed for expert users.},
  isbn         = {0091-3286},
}
@misc{DigitalCinemaInitiatives2007b,
  title        = {Digital {{Cinema System Specification}} -
    {{Version}} 1.1},
  author       = {{Digital Cinema Initiatives}},
  year         = 2007,
}
@misc{DjangoSoftwareFoundation2022,
  title        = {Slugify},
  author       = {{Django Software Foundation}},
  year         = 2022,
  urldate      = {2022-06-01},
}
@misc{Dolby2016a,
  title        = {{{WHAT IS ICTCP}}? - {{INTRODUCTION}}},
  author       = {{Dolby}},
  year         = 2016,
}
@misc{Dyer2017,
  title        = {{{RAW}} to {{ACES}}},
  author       = {Dyer, Scott and Forsythe, Alexander and Irons,
    Jonathon and Mansencal, Thomas and Zhu, Miaoqi},
  year         = 2017,
}
@misc{EasyRGBh,
  title        = {{{RGB}} --{$>$} {{CMY}}},
  author       = {{EasyRGB}},
  urldate      = {2014-05-18},
  howpublished = {http://www.easyrgb.com/index.php?X=MATH\&H=11\#text11},
}
@misc{EasyRGBi,
  title        = {{{CMY}} --{$>$} {{RGB}}},
  author       = {{EasyRGB}},
  urldate      = {2014-05-18},
  howpublished = {http://www.easyrgb.com/index.php?X=MATH\&H=12\#text12},
}
@misc{EasyRGBj,
  title        = {{{RGB}} --{$>$} {{HSV}}},
  author       = {{EasyRGB}},
  urldate      = {2014-05-18},
  howpublished = {http://www.easyrgb.com/index.php?X=MATH\&H=20\#text20},
}
@misc{EasyRGBk,
  title        = {{{HSL}} --{$>$} {{RGB}}},
  author       = {{EasyRGB}},
  urldate      = {2014-05-18},
  howpublished = {http://www.easyrgb.com/index.php?X=MATH\&H=19\#text19},
}
@misc{EasyRGBl,
  title        = {{{RGB}} --{$>$} {{HSL}}},
  author       = {{EasyRGB}},
  urldate      = {2014-05-18},
  howpublished = {http://www.easyrgb.com/index.php?X=MATH\&H=18\#text18},
}
@misc{EasyRGBm,
  title        = {{{CMYK}} --{$>$} {{CMY}}},
  author       = {{EasyRGB}},
  urldate      = {2014-05-18},
  howpublished = {http://www.easyrgb.com/index.php?X=MATH\&H=14\#text14},
}
@misc{EasyRGBn,
  title        = {{{HSV}} --{$>$} {{RGB}}},
  author       = {{EasyRGB}},
  urldate      = {2014-05-18},
  howpublished = {http://www.easyrgb.com/index.php?X=MATH\&H=21\#text21},
}
@misc{EasyRGBo,
  title        = {{{CMY}} --{$>$} {{CMYK}}},
  author       = {{EasyRGB}},
  urldate      = {2014-05-18},
  howpublished = {http://www.easyrgb.com/index.php?X=MATH\&H=13\#text13},
}
@inproceedings{Ebner1998,
  title        = {Finding Constant Hue Surfaces in Color Space},
  booktitle    = {Proc. {{SPIE}} 3300, {{Color Imaging}}:
    {{Device-Independent Color}}, {{Color Hardcopy}}, and {{Graphic
    Arts III}}, (2 {{January}} 1998)},
  author       = {Ebner, Fritz and Fairchild, Mark D.},
  editor       = {Beretta, Giordano B. and Eschbach, Reiner},
  year         = 1998,
  month        = jan,
  pages        = {107--117},
  doi          = {10.1117/12.298269},
}
@misc{Erdema,
  title        = {Fast {{Line Segment Intersection}}},
  author       = {Erdem, U. Murat},
  urldate      = {2016-01-15},
  howpublished = {http://www.mathworks.com/matlabcentral/fileexchange/27205-fast-line-segment-intersection},
}
@misc{Erdogana,
  title        = {How to {{Calculate Luminosity}}, {{Dominant
    Wavelength}}, and {{Excitation Purity}}},
  author       = {Erdogan, Turan},
  pages        = 7,
  abstract     = {There are many different systems for analyzing and
    representing the color of an object perceived by a human observer.
    For the purposes of unambiguously specifying the color an observer
    sees when looking through an optical filter at a well-defined
    light source, we have found the CIE Color Specification System to
    be the most accurate (for a simple and clear description, see
    [1]). In this article we briefly describe the method to calculate
    the three main parameters that fully specify color in this system:
    luminosity, dominant wavelength, and excitation purity. These
    terms specifically refer to the definitions in the CIE system
    given below, but they have analogies in many other systems. A set
    of more general terms often used to qualitatively describe color
    are: brightness, hue, and saturation (analogous to luminosity,
    dominant wavelength, and excitation purity, respectively). These
    terms (and others) are often used interchangeably. Here we will
    adhere to the official terms assigned to the CIE system to avoid
    any ambiguity.},
}
@misc{EuropeanBroadcastingUnion1975,
  title        = {{{EBU Tech}} 3213 - {{EBU Standard}} for
    {{Chromaticity Tolerances}} for {{Studio Monitors}}},
  author       = {{European Broadcasting Union}},
  year         = 1975,
  month        = aug,
}
@misc{EuropeanColorInitiative2002a,
  title        = {{{ECI RGB}} V2},
  author       = {{European Color Initiative}},
  year         = 2002,
}
@misc{FFmpegDevelopers2022,
  title        = {{{FFmpeg}}::{{AVColorPrimaries}}},
  author       = {{FFmpeg Developers}},
  year         = 2022,
  month        = aug,
}
@misc{FFmpegDevelopers2022a,
  title        = {{{FFmpeg}}::{{AVColorTransferCharacteristic}}},
  author       = {{FFmpeg Developers}},
  year         = 2022,
  month        = aug,
}
@misc{FFmpegDevelopers2022b,
  title        = {{{FFmpeg}}::{{AVColorSpace}}},
  author       = {{FFmpeg Developers}},
  year         = 2022,
  month        = aug,
}
@article{Fairchild1991a,
  title        = {Formulation and Testing of an
    Incomplete-Chromatic-Adaptation Model},
  author       = {Fairchild, Mark D.},
  year         = 1991,
  month        = aug,
  journal      = {Color Research \& Application},
  volume       = 16,
  number       = 4,
  pages        = {243--250},
  issn         = 03612317,
  doi          = {10.1002/col.5080160406},
  urldate      = {2014-09-26},
  abstract     = {A mathematical model of chromatic adaptation for
    calculating corresponding colors across changes of illumination
    based on the Hunt color appearance model is formulated and tested.
    This model consists of a modified von Kries transform that
    accounts for incomplete levels of adaptation. The model predicts
    that adaptation will be less complete as the saturation of the
    adapting stimulus increases and more complete as the luminance of
    the adapting stimulus increases. An experiment is described in
    which achromatic appearance is measured for various adapting
    conditions. The model is tested with these experimental results as
    well as results from another study and found to be significantly
    better at predicting corresponding colors than other proposed
    models.},
}
@article{Fairchild1996a,
  title        = {Refinement of the {{RLAB}} Color Space},
  author       = {Fairchild, Mark D.},
  year         = 1996,
  month        = oct,
  journal      = {Color Research \& Application},
  volume       = 21,
  number       = 5,
  pages        = {338--346},
  issn         = {0361-2317},
  doi          = {10.1002/(SICI)1520-6378(199610)21:5{$<$}338::AID-COL3{$>$}3.0.CO;2-Z},
  abstract     = {The prediction of color appearance using the RLAB
    color space has been tested for a variety of viewing conditions
    and stimulus types. These tests have shown that RLAB performs well
    for complex stimuli and not-so-well for simple stimuli. This
    article reviews the various psychophysical results, interprets
    their differences, and describes evolutionary enhancements to the
    RLAB model that simplify it and improve its performance. (C) 1996
    John Wiley \& Sons, Inc.},
  keywords     = {color appearance,color spaces,color-appearance
    models},
}
@misc{Fairchild1998b,
  title        = {Colorimetric {{Characterization}} of {{The Apple
    Studio Display}} (Flat Panel {{LCD}})},
  author       = {Fairchild, M. and Wyble, D.},
  year         = 1998,
  pages        = 22,
  abstract     = {The colorimetric characterization of a flat-panel
    LCD monitor, the Apple Studio Display, using traditional CRT
    characterization techniques was evaluated. The results showed that
    the display performed up to the manufacturer's specifications in
    terms of luminance and contrast. However, the traditional CRT
    gain-offset-gamma (GOG) model for characterization was inadequate
    and a model with one-dimensional lookup tables followed by a 3x3
    matrix was developed. The LUT model performed excellently with
    average CIE94 color differences between measured and predicted
    colors of approximately 1.0.},
}
@incollection{Fairchild2004c,
  title        = {{{CIECAM02}}},
  booktitle    = {Color {{Appearance Models}}},
  author       = {Fairchild, Mark D.},
  year         = 2004,
  edition      = 2,
  pages        = {289--301},
  publisher    = {{Wiley}},
  isbn         = {978-0-470-01216-1},
}
@inproceedings{Fairchild2010,
  title        = {Hdr-{{CIELAB}} and Hdr-{{IPT}}: {{Simple Models}}
    for {{Describing}} the {{Color}} of {{High-Dynamic-Range}} and
    {{Wide-Color-Gamut Images}}},
  booktitle    = {Proc. of {{Color}} and {{Imaging Conference}}},
  author       = {Fairchild, Mark D. and Wyble, David R.},
  year         = 2010,
  pages        = {322--326},
  issn         = 21669635,
  isbn         = {978-1-62993-215-6},
  keywords     = {Copyright 2010 Society for Imaging Science and Tec},
}
@inproceedings{Fairchild2011,
  title        = {Brightness, Lightness, and Specifying Color in
    High-Dynamic-Range Scenes and Images},
  booktitle    = {Proc. {{SPIE}} 7867, {{Image Quality}} and {{System
    Performance VIII}}},
  author       = {Fairchild, Mark D and Chen, Ping-hsu},
  editor       = {Farnand, Susan P. and Gaykema, Frans},
  year         = 2011,
  month        = jan,
  pages        = {78670O},
  doi          = {10.1117/12.872075},
  keywords     = {color appearance,color differences,color
    spaces,hdr,image quality,lightness},
}
@incollection{Fairchild2013ba,
  title        = {The {{Nayatani}} et al. {{Model}}},
  booktitle    = {Color {{Appearance Models}}},
  author       = {Fairchild, Mark D.},
  year         = 2013,
  edition      = 3,
  pages        = {4810--5085},
  publisher    = {{Wiley}},
  isbn         = {B00DAYO8E2},
}
@incollection{Fairchild2013s,
  title        = {{{FAIRCHILD}}'{{S}} 1990 {{MODEL}}},
  booktitle    = {Color {{Appearance Models}}},
  author       = {Fairchild, Mark D.},
  year         = 2013,
  edition      = 3,
  pages        = {4418--4495},
  publisher    = {{Wiley}},
  isbn         = {B00DAYO8E2},
}
@incollection{Fairchild2013t,
  title        = {Chromatic {{Adaptation Models}}},
  booktitle    = {Color {{Appearance Models}}},
  author       = {Fairchild, Mark D.},
  year         = 2013,
  edition      = 3,
  pages        = {4179--4252},
  publisher    = {{Wiley}},
  isbn         = {B00DAYO8E2},
}
@incollection{Fairchild2013u,
  title        = {The {{Hunt Model}}},
  booktitle    = {Color {{Appearance Models}}},
  author       = {Fairchild, Mark D.},
  year         = 2013,
  edition      = 3,
  pages        = {5094--5556},
  publisher    = {{Wiley}},
  isbn         = {B00DAYO8E2},
}
@incollection{Fairchild2013v,
  title        = {{{ATD Model}}},
  booktitle    = {Color {{Appearance Models}}},
  author       = {Fairchild, Mark D.},
  year         = 2013,
  edition      = 3,
  pages        = {5852--5991},
  publisher    = {{Wiley}},
  isbn         = {B00DAYO8E2},
}
@incollection{Fairchild2013w,
  title        = {The {{RLAB Model}}},
  booktitle    = {Color {{Appearance Models}}},
  author       = {Fairchild, Mark D.},
  year         = 2013,
  edition      = 3,
  pages        = {5563--5824},
  publisher    = {{Wiley}},
  isbn         = {B00DAYO8E2},
}
@incollection{Fairchild2013x,
  title        = {{{LLAB Model}}},
  booktitle    = {Color {{Appearance Models}}},
  author       = {Fairchild, Mark D.},
  year         = 2013,
  edition      = 3,
  pages        = {6025--6178},
  publisher    = {{Wiley}},
  isbn         = {B00DAYO8E2},
}
@incollection{Fairchild2013y,
  title        = {{{IPT Colourspace}}},
  booktitle    = {Color {{Appearance Models}}},
  author       = {Fairchild, Mark D.},
  year         = 2013,
  edition      = 3,
  pages        = {6197--6223},
  publisher    = {{Wiley}},
  isbn         = {B00DAYO8E2},
}
@article{Fairchild2020,
  title        = {Von {{Kries}} 2020: {{Evolution}} of Degree of
    Chromatic Adaptation},
  shorttitle   = {Von {{Kries}} 2020},
  author       = {Fairchild, Mark D.},
  year         = 2020,
  month        = nov,
  journal      = {Color and Imaging Conference},
  volume       = 28,
  number       = 1,
  pages        = {252--257},
  issn         = {2166-9635},
  doi          = {10.2352/issn.2169-2629.2020.28.40},
  urldate      = {2023-04-03},
  abstract     = {Recent data has shown that the process of chromatic
    adaptation might be asymmetrical, or irreversible, and that this
    effect might be more than simply a manifestation of the time
    course of adaptation. This paper introduces a simple modification
    of the von Kries chromatic adaptation transform, referred to as
    vK20, that can account for the asymmetry in chromatic adaptation
    through inclusion of previous adapting conditions. Also introduced
    is a new reference chromaticity (\textasciitilde 15000K) for
    degree of adaptation that seems more physiologically plausible
    than the commonly used equal-energy (EE) illuminant or CIE
    illuminant D65.},
  langid       = {english},
}
@misc{Fairchild2022,
  title        = {Private {{Discussion}} with {{Mansencal}}, {{T}}.},
  author       = {Fairchild, Mark D and Hellwig, Luke},
  year         = 2022,
}
@misc{Fairchildb,
  title        = {Fairchild {{YSh}}},
  author       = {Fairchild, Mark D.},
}
@article{Fairman1985b,
  title        = {The Calculation of Weight Factors for Tristimulus
    Integration},
  author       = {Fairman, Hugh S.},
  year         = 1985,
  journal      = {Color Research \& Application},
  volume       = 10,
  number       = 4,
  pages        = {199--203},
  issn         = 03612317,
  doi          = {10.1002/col.5080100407},
}
@article{Fairman1997,
  title        = {How the {{CIE}} 1931 Color-Matching Functions Were
    Derived from {{Wright-Guild}} Data},
  author       = {Fairman, Hugh S. and Brill, Michael H. and
    Hemmendinger, Henry},
  year         = 1997,
  month        = feb,
  journal      = {Color Research \& Application},
  volume       = 22,
  number       = 1,
  pages        = {11--23},
  issn         = {0361-2317},
  doi          = {10.1002/(SICI)1520-6378(199702)22:1{$<$}11::AID-COL4{$>$}3.0.CO;2-7},
  urldate      = {2014-09-27},
  abstract     = {Page 1. How the CIE 1931 Color-Matching Functions
    Were Derived from Wright-Guild Data Hugh S. Fairman, 1 Michael H.
    Brill, 2 Henry Hemmendinger 3},
  keywords     = {alychne,chromaticity diagram,cie,cie 1931
    system,color-matching,colorimetry,cus,guild data,mation,primary
    colors,spectrum lo-,transfor-,wright},
}
@misc{FiLMiCInc2017,
  title        = {{{FiLMiC Pro}} - {{User Manual}} v6 - {{Revision}} 1},
  author       = {{FiLMiC Inc}},
  year         = 2017,
  pages        = {1--46},
}
@article{Finlayson2015,
  title        = {Color {{Correction Using Root-Polynomial
    Regression}}},
  author       = {Finlayson, Graham D. and MacKiewicz, Michal and
    Hurlbert, Anya},
  year         = 2015,
  month        = may,
  journal      = {IEEE Transactions on Image Processing},
  volume       = 24,
  number       = 5,
  pages        = {1460--1470},
  issn         = 10577149,
  doi          = {10.1109/TIP.2015.2405336},
  abstract     = {Cameras record three color responses (RGB) which are
    device dependent. Camera coordinates are mapped to a standard
    color space, such as XYZ\textemdash useful for color
    measurement\textemdash by amapping function, e.g., the simple
    3\texttimes 3 linear transform (usually derived through
    regression). This mapping, which we will refer to as linear color
    correction (LCC), has been demonstrated to work well in the number
    of studies. However, it can map RGBs to XYZs with high error. The
    advantage of the LCC is that it is independent of camera exposure.
    An alternative and potentially more powerful method for color
    correction is polynomial color correction (PCC). Here, the R,
    G,and B values at a pixel are extended by the polynomial terms.
    For a given calibration training set PCC can significantly reduce
    the colorimetric error. However, the PCC fit depends on exposure,
    i.e., as exposure changes the vector of polynomial components is
    altered in a nonlinear way which results in hue and saturation
    shifts. This paper proposes a new polynomial-type regression
    loosely related to the idea of fractional polynomials which we
    call root-PCC (RPCC). Our idea is to take each term in a
    polynomial expansion and take its kth root of each k-degree term.
    It is easy to show terms defined in this way scale with exposure.
    RPCC is a simple (low complexity) extension of LCC. The
    experiments presented in this paper demonstrate that RPCC enhances
    color correction performance on real and synthetic data.},
  isbn         = {1057-7149 VO - 24},
  keywords     = {camera characterization,Color correction,polynomial
    regression},
}
@misc{Forsythe2018,
  title        = {Private {{Discussion}} with {{Mansencal}}, {{T}}},
  author       = {Forsythe, Alex},
  year         = 2018,
}
@misc{Frohlich2017,
  title        = {Encoding High Dynamic Range and Wide Color Gamut
    Imagery},
  author       = {Fr{\"o}hlich, Jan},
  year         = 2017,
  publisher    = {{Universit\"at Stuttgart}},
  urldate      = {2021-08-07},
  abstract     = {In dieser Dissertation wird ein szenischer
    Bewegtbilddatensatz mit erweitertem Dynamikumfang (High Dynamic
    Range, HDR) und gro\ss em Farbumfang (Wide Color Gamut, WCG)
    eingef\"uhrt und es werden Modelle zur Kodierung von HDR und WCG
    Bildern vorgestellt. Die objektive und visuelle Evaluation neuer
    HDR und WCG Bildverarbeitungsalgorithmen, Kompressionsverfahren
    und Bildwiedergabeger\"ate erfordert einen Referenzdatensatz hoher
    Qualit\"at. Daher wird ein neuer HDR- und WCG-Video-Datensatz mit
    einem Dynamikumfang von bis zu 18 fotografischen Blenden
    eingef\"uhrt. Er enth\"alt inszenierte und dokumentarische Szenen.
    Die einzelnen Szenen sind konzipiert um eine Herausforderung f\"ur
    Tone Mapping Operatoren, Gamut Mapping Algorithmen,
    Kompressionscodecs und HDR und WCG Bildanzeigeger\"ate
    darzustellen. Die Szenen sind mit professionellem Licht, Maske und
    Filmausstattung aufgenommen. Um einen cinematischen Bildeindruck
    zu erhalten, werden digitale Filmkameras mit `Super-35 mm'
    Sensorgr\"o\ss e verwendet. Der zus\"atzliche Informationsgehalt
    von HDR- und WCG-Videosignalen erfordert im Vergleich zu Signalen
    mit herk\"ommlichem Dynamikumfang eine neue und effizientere
    Signalkodierung. Ein Farbraum f\"ur HDR und WCG Video sollte nicht
    nur effizient quantisieren, sondern wegen der unterschiedlichen
    Monitoreigenschaften auf der Empf\"angerseite auch f\"ur die
    Dynamik- und Farbumfangsanpassung geeignet sein. Bisher wurden
    Methoden f\"ur die Quantisierung von HDR Luminanzsignalen
    vorgeschlagen. Es fehlt jedoch noch ein entsprechendes Modell
    f\"ur Farbdifferenzsignale. Es werden daher zwei neue Farbr\"aume
    eingef\"uhrt, die sich sowohl f\"ur die effiziente Kodierung von
    HDR und WCG Signalen als auch f\"ur die Dynamik- und
    Farbumfangsanpassung eignen. Diese Farbr\"aume werden mit
    existierenden HDR und WCG Farbsignalkodierungen des aktuellen
    Stands der Technik verglichen. Die vorgestellten
    Kodierungsschemata erlauben es, HDR- und WCG-Video mittels drei
    Farbkan\"alen mit 12 Bits tonaler Aufl\"osung zu quantisieren,
    ohne dass Quantisierungsartefakte sichtbar werden. W\"ahrend die
    Speicherung und \"Ubertragung von HDR und WCG Video mit 12-Bit
    Farbtiefe pro Kanal angestrebt wird, unterst\"utzen aktuell
    verbreitete Dateiformate, Videoschnittstellen und
    Kompressionscodecs oft nur niedrigere Bittiefen. Um diese
    existierende Infrastruktur f\"ur die HDR Video\"ubertragung und
    -speicherung nutzen zu k\"onnen, wird ein neues
    bildinhaltsabh\"angiges Quantisierungsschema eingef\"uhrt. Diese
    Quantisierungsmethode nutzt Bildeigenschaften wie Rauschen und
    Textur um die ben\"otigte tonale Aufl\"osung f\"ur die visuell
    verlustlose Quantisierung zu sch\"atzen. Die vorgestellte Methode
    erlaubt es HDR Video mit einer Bittiefe von 10 Bits ohne sichtbare
    Unterschiede zum Original zu quantisieren und kommt mit weniger
    Rechenkraft im Vergleich zu aktuellen HDR Bilddifferenzmetriken
    aus.},
  collaborator = {Universit{\"a}t Stuttgart and Universit{\"a}t
    Stuttgart},
  langid       = {english},
  keywords     = 004,
}
@misc{Fujifilm2022,
  title        = {F-{{Log Data Sheet Ver}}.1.1},
  author       = {{Fujifilm}},
  year         = 2022,
  pages        = {1--4},
}
@misc{Fujifilm2022a,
  title        = {F-{{Log2 Data Sheet Ver}}.1.0},
  author       = {{Fujifilm}},
  year         = 2022,
  pages        = {1--4},
}
@misc{Gaggioni,
  title        = {S-{{Log}}: {{A}} New {{LUT}} for Digital Production
    Mastering and Interchange Applications},
  author       = {Gaggioni, Hugo and Dhanendra, Patel and Yamashita,
    Jin and Kawada, N. and Endo, K. and Clark, Curtis},
  volume       = 709,
  pages        = {1--13},
}
@article{Garcia2007,
  title        = {Measurement of the Relationship between Perceived
    and Computed Color Differences},
  author       = {Garc{\'i}a, Pedro A. and Huertas, Rafael and
    Melgosa, Manuel and Cui, Guihua},
  year         = 2007,
  month        = jul,
  journal      = {Journal of the Optical Society of America A},
  volume       = 24,
  number       = 7,
  pages        = 1823,
  issn         = {1084-7529, 1520-8532},
  doi          = {10.1364/JOSAA.24.001823},
  urldate      = {2021-02-03},
  langid       = {english},
}
@article{Glasser1958a,
  title        = {Cube-{{Root Color Coordinate System}}},
  author       = {Glasser, L. G. and McKinney, A. H. and Reilly, C. D.
    and Schnelle, P. D.},
  year         = 1958,
  month        = oct,
  journal      = {Journal of the Optical Society of America},
  volume       = 48,
  number       = 10,
  pages        = 736,
  publisher    = {{OSA}},
  issn         = {0030-3941},
  doi          = {10.1364/JOSA.48.000736},
  abstract     = {A visually uniform color coordinate system, based
    upon simple mathematical formulas, is described. This system
    resembles the Adams chromatic-value system but replaces the
    quintic-parabola function with a cube-root function. For colors
    having reflectances greater than 0.5\% the color spacing obtained
    agrees with Munsell spacing as closely as the modified Adams
    system. At lower reflectances an expanded color spacing over that
    of the Munsell system is provided. The cube-root equations can be
    solved directly for color coordinate differences in terms of
    simple functions of the difference in colorimeter readings or
    tristimulus values. The computation of color coordinates in this
    system is simpler and requires less computational precision than
    other visually uniform color coordinate systems. A simple slide
    rule for computing color differences in cube-root color
    coordinates is described. A modification of the cube-root color
    coordinate system which provides nearly perfect representation of
    the spacing of Munsell colors is described, and the
    appropriateness of the assumptions required to obtain this
    behavior is discussed.},
}
@misc{GoPro2016a,
  title        = {Gopro.Py},
  author       = {{GoPro} and Duiker, Haarm-Pieter and Mansencal,
    Thomas},
  year         = 2016,
  urldate      = {2017-04-12},
  howpublished = {https://github.com/hpd/OpenColorIO-Configs/blob/master/aces\_1.0.3/python/aces\_ocio/colorspaces/gopro.py},
}
@inproceedings{Guth1995a,
  title        = {Further Applications of the {{ATD}} Model for Color
    Vision},
  booktitle    = {Proc. {{SPIE}} 2414, {{Device-Independent Color
    Imaging II}}},
  author       = {Guth, S. Lee},
  editor       = {Walowit, Eric},
  year         = 1995,
  month        = apr,
  volume       = 2414,
  pages        = {12--26},
  doi          = {10.1117/12.206546},
  urldate      = {2014-09-26},
  abstract     = {Previous and recent revisions of the ATD model for
    color perception\textbackslash nand visual adaption are
    incorporated into the version that is fully\textbackslash
    ndescribed in this paper.},
  keywords     = {chromatic adaptation,color appearances,color
    discriminations,color models},
}
@misc{Halir1998,
  title        = {Numerically {{Stable Direct Least Squares Fitting Of
    Ellipses}}},
  author       = {Halir, Radim and Flusser, Jan},
  year         = 1998,
  pages        = {1--8},
  doi          = {10.1.1.1.7559},
  keywords     = {eigenvectors,ellipses,fitting,least squares},
}
@inproceedings{Hanbury2003,
  title        = {A {{3D-Polar Coordinate Colour Representation Well
    Adapted}} to {{Image Analysis}}},
  booktitle    = {Image {{Analysis}}},
  author       = {Hanbury, Allan},
  editor       = {Bigun, Josef and Gustavsson, Tomas},
  year         = 2003,
  pages        = {804--811},
  publisher    = {{Springer Berlin Heidelberg}},
  address      = {{Berlin, Heidelberg}},
  abstract     = {Representations of the RGB space in terms of
    3D-polar coordinates (hue, saturation and brightness) are often
    used in image analysis. The literature describes a large number of
    similar coordinate systems (HLS, HSV, etc.). We show that the
    reason for the existence of so many systems is a poor definition
    of the saturation coordinate which makes it dependent on the
    brightness function used, and hence poorly suited to image
    analysis applications. An improved saturation measurement which
    (1) always has small values for achromatic colours and (2) is
    independent of the brightness function is derived.},
  isbn         = {978-3-540-45103-7},
}
@article{Hellwig2020,
  title        = {Using {{Gaussian Spectra}} to {{Derive}} a
    {{Hue-linear Color Space}}},
  author       = {Hellwig, Luke and Fairchild, Mark D.},
  year         = 2020,
  journal      = {Journal of Perceptual Imaging},
  issn         = {2575-8144},
  doi          = {10.2352/J.Percept.Imaging.2020.3.2.020401},
  urldate      = {2020-10-17},
  abstract     = {A new color space, I G P G T G, was developed. I G P
    G T G uses the same structure as IPT, an established hue-uniform
    color space utilized in gamut mapping applications. While IPT was
    fit to visual data on the perceived hue, I G P G T G was optimized
    based on evidence linking the peak wavelength of Gaussian-shaped
    light spectra to their perceived hues. The performance of I G P G
    T G on perceived hue data was compared to the performance of other
    established color spaces. Additionally, an experiment was run to
    directly compare the hue linearity of I G P G T G with those of
    other color spaces by using Case V of Thurstone's law of
    comparative judgment to generate hue-linearity scales. I G P G T G
    performed well in this experiment but poorly on extant visual
    data. The mixed results indicate that it is possible to derive a
    moderately hue-linear color space without visual data.},
  langid       = {english},
}
@article{Hellwig2022,
  title        = {Brightness, Lightness, Colorfulness, and Chroma in
    {{{\textsc{CIECAM02}}}} and {{{\textsc{CAM16}}}}},
  shorttitle   = {Brightness, Lightness, Colorfulness, and Chroma In},
  author       = {Hellwig, Luke and Fairchild, Mark D.},
  year         = 2022,
  month        = mar,
  journal      = {Color Research \& Application},
  pages        = {col.22792},
  issn         = {0361-2317, 1520-6378},
  doi          = {10.1002/col.22792},
  urldate      = {2022-04-23},
  abstract     = {In the CIECAM02 and CAM16 color appearance models,
    brightness is computed as a nonlinear function of lightness. This
    paper traces the history of that nonlinearity to its roots in the
    Hunt color appearance model. A new, more robust, linear
    relationship between lightness and brightness is proposed. This
    new formula also prompts the reevaluation of the CAM16 equations
    for chroma, colorfulness, and saturation. The new formulas for
    these perceptual attributes are tested on experimental data from
    the Munsell color order system and the LUTCHI color appearance
    dataset and are compared to the performance of the original CAM16
    equations.},
  langid       = {english},
}
@article{Hellwig2022a,
  title        = {Extending {{CIECAM02}} and {{CAM16}} for the
    {{Helmholtz}}\textendash{{Kohlrausch}} Effect},
  shorttitle   = {Extending},
  author       = {Hellwig, Luke and Stolitzka, Dale and Fairchild,
    Mark D.},
  year         = 2022,
  month        = jun,
  journal      = {Color Research \& Application},
  pages        = {col.22793},
  issn         = {0361-2317, 1520-6378},
  doi          = {10.1002/col.22793},
  urldate      = {2022-07-31},
  langid       = {english},
}
@article{Hernandez-Andres1999a,
  title        = {Calculating Correlated Color Temperatures across the
    Entire Gamut of Daylight and Skylight Chromaticities},
  author       = {{Hern{\'a}ndez-Andr{\'e}s}, Javier and Lee, Raymond
    L. and Romero, Javier},
  year         = 1999,
  month        = sep,
  journal      = {Applied Optics},
  volume       = 38,
  number       = 27,
  pages        = 5703,
  publisher    = {{Departamento de Optica, Facultad de Ciencias,
    Universidad de Granada, Granada 18071, Spain.}},
  issn         = {0003-6935},
  doi          = {10.1364/AO.38.005703},
  abstract     = {Natural outdoor illumination daily undergoes large
    changes in its correlated color temperature (CCT), yet existing
    equations for calculating CCT from chromaticity coordinates span
    only part of this range. To improve both the gamut and accuracy of
    these CCT calculations, we use chromaticities calculated from our
    measurements of nearly 7000 daylight and skylight spectra to test
    an equation that accurately maps CIE 1931 chromaticities x and y
    into CCT. We extend the work of McCamy [Color Res. Appl. 12,
    285-287 (1992)] by using a chromaticity epicenter for CCT and the
    inverse slope of the line that connects it to x and y. With two
    epicenters for different CCT ranges, our simple equation is
    accurate across wide chromaticity and CCT ranges (3000-10(6) K)
    spanned by daylight and skylight.},
}
@misc{Hewlett-PackardDevelopmentCompany2009a,
  title        = {Understanding the {{HP DreamColor LP2480zx DCI-P3
    Emulation Color Space}}},
  author       = {{Hewlett-Packard Development Company}},
  year         = 2009,
  pages        = {1--3},
}
@misc{Holmesa,
  title        = {Ekta {{Space PS}} 5},
  author       = {Holmes, Joseph},
}
@misc{Houston2015a,
  title        = {Private {{Discussion}} with {{Mansencal}}, {{T}}.},
  author       = {Houston, Jim},
  year         = 2015,
}
@article{Huang2015,
  title        = {Power Functions Improving the Performance of
    Color-Difference Formulas},
  author       = {Huang, Min and Cui, Guihua and Melgosa, Manuel and
    {S{\'a}nchez-Mara{\~n}{\'o}n}, Manuel and Li, Changjun and Luo, M.
    Ronnier and Liu, Haoxue},
  year         = 2015,
  journal      = {Optical Society of America},
  volume       = 23,
  number       = 1,
  pages        = {597--610},
  issn         = {1094-4087},
  doi          = {10.1364/OE.23.000597},
}
@article{Hung1995,
  title        = {Determination of Constant {{Hue Loci}} for a {{CRT}}
    Gamut and Their Predictions Using Color Appearance Spaces},
  author       = {Hung, Po-Chieh and Berns, Roy S.},
  year         = 1995,
  month        = oct,
  journal      = {Color Research \& Application},
  volume       = 20,
  number       = 5,
  pages        = {285--295},
  issn         = 03612317,
  doi          = {10.1002/col.5080200506},
  keywords     = {color appearance spaces,experiments to evaluate
    color space hue linearity,perceived hue},
}
@book{Hunt2004b,
  title        = {The {{Reproduction}} of {{Colour}}},
  author       = {Hunt, R.W.G.},
  year         = 2004,
  month        = sep,
  edition      = 6,
  publisher    = {{John Wiley \& Sons, Ltd}},
  address      = {{Chichester, UK}},
  doi          = {10.1002/0470024275},
  isbn         = {978-0-470-02427-0},
  keywords     = {calanus finmarchicus,egg production,gonad
    development,norwegian sea,phytoplankton},
}
@misc{HunterLab2008b,
  title        = {Hunter {{L}},a,b {{Color Scale}}},
  author       = {{HunterLab}},
  year         = 2008,
}
@misc{HunterLab2008c,
  title        = {Illuminant {{Factors}} in {{Universal Software}} and
    {{EasyMatch Coatings}}},
  author       = {{HunterLab}},
  year         = 2008,
  keywords     = {ASTM illuminant},
}
@misc{HunterLab2012a,
  title        = {Hunter {{Rd}},a,b {{Color Scale}} - {{History}} and
    {{Application}}},
  author       = {{HunterLab}},
  year         = 2012,
  keywords     = {a rd,b rd,hunter rd,opponent color scale,rd a b,rdab},
}
@misc{HutchColord,
  title        = {{{BestRGB}} (4 {{K}})},
  author       = {{HutchColor}},
}
@misc{HutchColore,
  title        = {{{XtremeRGB}} (4 {{K}})},
  author       = {{HutchColor}},
}
@misc{HutchColorf,
  title        = {{{MaxRGB}} (4 {{K}})},
  author       = {{HutchColor}},
}
@misc{HutchColorg,
  title        = {{{DonRGB4}} (4 {{K}})},
  author       = {{HutchColor}},
}
@book{IESComputerCommittee2014a,
  title        = {{{IES Standard Format}} for the {{Electronic
    Transfer}} of {{Spectral Data Electronic Transfer}} of {{Spectral
    Data}}},
  author       = {{IES Computer Committee} and {TM-27-14 Working
    Group}},
  year         = 2014,
  publisher    = {{Illuminating Engineering Society}},
  isbn         = {978-0-87995-295-2},
}
@misc{ImageEngineering2017,
  title        = {{{TE226 V2}} Data Sheet},
  author       = {{Image Engineering}},
  year         = 2017,
}
@misc{InternationalColorConsortium2010,
  title        = {Specification {{ICC}}.1:2010 ({{Profile}} Version
    4.3.0.0)},
  author       = {{International Color Consortium}},
  year         = 2010,
  pages        = {1--130},
}
@misc{InternationalElectrotechnicalCommission1999a,
  title        = {{{IEC}} 61966-2-1:1999 - {{Multimedia}} Systems and
    Equipment - {{Colour}} Measurement and Management - {{Part}} 2-1:
    {{Colour}} Management - {{Default RGB}} Colour Space - {{sRGB}}},
  author       = {{International Electrotechnical Commission}},
  year         = 1999,
  pages        = 51,
}
@misc{InternationalOrganizationforStandardization2002,
  title        = {{{INTERNATIONAL STANDARD ISO}} 7589-2002 -
    {{Photography}} - {{Illuminants}} for Sensitometry -
    {{Specifications}} for Daylight, Incandescent Tungsten and Printer},
  author       = {{International Organization for Standardization}},
  year         = 2002,
}
@misc{InternationalOrganizationforStandardization2012,
  title        = {{{INTERNATIONAL STANDARD ISO}} 17321-1 - {{Graphic}}
    Technology and Photography - {{Colour}} Characterisation of
    Digital Still Cameras ({{DSCs}}) - {{Part}} 1: {{Stimuli}},
    Metrology and Test Procedures},
  author       = {{International Organization for Standardization}},
  year         = 2012,
}
@misc{InternationalOrganizationforStandardization2013,
  title        = {{{INTERNATIONAL STANDARD ISO}}/{{IEC}} 23001-8 -
    {{Information}} Technology - {{MPEG}} Systems Technologies -
    {{Part}} 8: {{Coding-independent}} Code Points},
  author       = {{International Organization for Standardization}},
  year         = 2013,
}
@misc{InternationalOrganizationforStandardization2020,
  title        = {{{INTERNATIONAL STANDARD ISO}}/{{IEC}} 14496-10 -
    {{Information}} Technology - {{Coding}} of Audio-Visual Objects -
    {{Part}} 10: {{Advanced}} Video Coding},
  author       = {{International Organization for Standardization}},
  year         = 2020,
}
@misc{InternationalOrganizationforStandardization2021,
  title        = {{{INTERNATIONAL STANDARD ISO}}/{{IEC}} 23091-2 -
    {{Information}} Technology - {{Coding-}} Independent Code Points -
    {{Part}} 2: {{Video}}},
  author       = {{International Organization for Standardization}},
  year         = 2021,
}
@misc{InternationalTelecommunicationUnion1998,
  title        = {Recommendation {{ITU-R BT}}.1361 - {{Worldwide}}
    Unified Colorimetry and Related Characteristics of Future
    Television and Imaging Systems},
  author       = {{International Telecommunication Union}},
  year         = 1998,
  pages        = {1--32},
}
@misc{InternationalTelecommunicationUnion1998a,
  title        = {Recommendation {{ITU-R BT}}.470-6 - {{CONVENTIONAL
    TELEVISION SYSTEMS}}},
  author       = {{International Telecommunication Union}},
  year         = 1998,
  pages        = {1--36},
}
@misc{InternationalTelecommunicationUnion2011e,
  title        = {Recommendation {{ITU-T T}}.871 - {{Information}}
    Technology - {{Digital}} Compression and Coding of Continuous-Tone
    Still Images: {{JPEG File Interchange Format}} ({{JFIF}})},
  author       = {{International Telecommunication Union}},
  year         = 2011,
}
@misc{InternationalTelecommunicationUnion2011f,
  title        = {Recommendation {{ITU-R BT}}.601-7 - {{Studio}}
    Encoding Parameters of Digital Television for Standard 4:3 and
    Wide-Screen 16:9 Aspect Ratios},
  author       = {{International Telecommunication Union}},
  year         = 2011,
}
@misc{InternationalTelecommunicationUnion2011h,
  title        = {Recommendation {{ITU-R BT}}.1886 - {{Reference}}
    Electro-Optical Transfer Function for Flat Panel Displays Used in
    {{HDTV}} Studio Production {{BT Series Broadcasting}} Service},
  author       = {{International Telecommunication Union}},
  year         = 2011,
}
@misc{InternationalTelecommunicationUnion2015,
  title        = {Report {{ITU-R BT}}.2246-4 - {{The}} Present State
    of Ultra-High Definition Television {{BT Series Broadcasting}}
    Service},
  author       = {{International Telecommunication Union}},
  year         = 2015,
  volume       = 5,
  pages        = {1--92},
}
@misc{InternationalTelecommunicationUnion2015h,
  title        = {Recommendation {{ITU-R BT}}.2020 - {{Parameter}}
    Values for Ultra-High Definition Television Systems for Production
    and International Programme Exchange},
  author       = {{International Telecommunication Union}},
  year         = 2015,
  pages        = {1--8},
  abstract     = {The role of the Radiocommunication Sector is to
    ensure the rational, equitable, efficient and economical use of
    the radio-frequency spectrum by all radiocommunication services,
    including satellite services, and carry out studies without limit
    of frequency range on the basis of which Recommendations are
    adopted. The regulatory and policy functions of the
    Radiocommunication Sector are performed by World and Regional
    Radiocommunication Conferences and Radiocommunication Assemblies
    supported by Study Groups},
}
@misc{InternationalTelecommunicationUnion2015i,
  title        = {Recommendation {{ITU-R BT}}.709-6 - {{Parameter}}
    Values for the {{HDTV}} Standards for Production and International
    Programme Exchange {{BT Series Broadcasting}} Service},
  author       = {{International Telecommunication Union}},
  year         = 2015,
  pages        = {1--32},
}
@misc{InternationalTelecommunicationUnion2017,
  title        = {Recommendation {{ITU-R BT}}.2100-1 - {{Image}}
    Parameter Values for High Dynamic Range Television for Use in
    Production and International Programme Exchange},
  author       = {{International Telecommunication Union}},
  year         = 2017,
}
@misc{InternationalTelecommunicationUnion2018,
  title        = {Recommendation {{ITU-R BT}}.2100-2 - {{Image}}
    Parameter Values for High Dynamic Range Television for Use in
    Production and International Programme Exchange},
  author       = {{International Telecommunication Union}},
  year         = 2018,
}
@misc{InternationalTelecommunicationUnion2019,
  title        = {Recommendation {{ITU-R BT}}.2124-0 - {{Objective}}
    Metric for the Assessment of the Potential Visibility of Colour
    Differences in Television},
  author       = {{International Telecommunication Union}},
  year         = 2019,
  pages        = {1--36},
}
@misc{InternationalTelecommunicationUnion2021,
  title        = {Recommendation {{ITU-T H}}.273 -
    {{Coding-independent}} Code Points for Video Signal Type
    Identification},
  author       = {{International Telecommunication Union}},
  year         = 2021,
}
@article{Jakob2019,
  ids          = {Jakob},
  title        = {A {{Low}}-{{Dimensional Function Space}} for
    {{Efficient Spectral Upsampling}}},
  author       = {Jakob, Wenzel and Hanika, Johannes},
  year         = 2019,
  month        = may,
  journal      = {Computer Graphics Forum},
  volume       = 38,
  number       = 2,
  pages        = {147--155},
  issn         = {0167-7055, 1467-8659},
  doi          = {10.1111/cgf.13626},
  urldate      = {2020-06-21},
  langid       = {english},
}
@inproceedings{Jiang2013,
  title        = {What Is the Space of Spectral Sensitivity Functions
    for Digital Color Cameras?},
  booktitle    = {2013 {{IEEE Workshop}} on {{Applications}} of
    {{Computer Vision}} ({{WACV}})},
  author       = {Jiang, Jun and Liu, Dengyu and Gu, Jinwei and
    Susstrunk, Sabine},
  year         = 2013,
  month        = jan,
  pages        = {168--179},
  publisher    = {{IEEE}},
  issn         = 21583978,
  doi          = {10.1109/WACV.2013.6475015},
  abstract     = {Camera spectral sensitivity functions relate scene
    radiance with captured RGB triplets. They are important for many
    computer vision tasks that use color information, such as
    multispectral imaging, color rendering, and color constancy. In
    this paper, we aim to explore the space of spectral sensitivity
    functions for digital color cameras. After collecting a database
    of 28 cameras covering a variety of types, we find this space
    convex and two-dimensional. Based on this statistical model, we
    propose two methods to recover camera spectral sensitivities using
    regular reflective color targets (e.g., color checker) from a
    single image with and without knowing the illumination. We show
    the proposed model is more accurate and robust for estimating
    camera spectral sensitivities than other basis functions. We also
    show two applications for the recovery of camera spectral
    sensitivities - simulation of color rendering for cameras and
    computational color constancy.},
  isbn         = {978-1-4673-5054-9},
}
@article{Kang2002a,
  title        = {Design of Advanced Color: {{Temperature}} Control
    System for {{HDTV}} Applications},
  author       = {Kang, Bongsoon and Moon, Ohak and Hong, Changhee and
    Lee, Honam and Cho, Bonghwan and Kim, Youngsun},
  year         = 2002,
  journal      = {Journal of the Korean Physical Society},
  volume       = 41,
  number       = 6,
  pages        = {865--871},
  urldate      = {2014-09-25},
  keywords     = {chromaticity,cie-xyz,color temperature,hdtv},
}
@misc{Kienzle2011a,
  title        = {Refl1d.Numpyerrors - {{Refl1D}} v0.6.19
    Documentation},
  author       = {Kienzle, Paul and Patel, Nikunj and Krycka, James},
  year         = 2011,
  urldate      = {2015-01-30},
  howpublished = {http://www.reflectometry.org/danse/docs/refl1d/\_modules/refl1d/numpyerrors.html},
}
@article{Kim2009,
  title        = {Modeling {{Human Color Perception}} under {{Extended
    Luminance Levels}}},
  author       = {Kim, Mh and Weyrich, T and Kautz, J},
  year         = 2009,
  journal      = {ACM Transactions on Graphics},
  volume       = 28,
  number       = 3,
  pages        = {27:1--27:9},
  issn         = 07300301,
  doi          = {10.1145/1531326.1531333},
  abstract     = {Display technology is advancing quickly with peak
    luminance increasing significantly, enabling high-dynamic-range
    displays. However, perceptual color appearance under extended
    luminance levels has not been studied, mainly due to the
    unavailability of psychophysical data. Therefore, we conduct a
    psychophysical study in order to acquire appearance data for many
    different luminance levels (up to 16,860 cd/m(2)) covering most of
    the dynamic range of the human visual system. These experimental
    data allow us to quantify human color perception under extended
    luminance levels, yielding a generalized color appearance model.
    Our proposed appearance model is efficient, accurate and
    invertible. It can be used to adapt the tone and color of images
    to different dynamic ranges for cross-media reproduction while
    maintaining appearance that is close to human perception.},
  isbn         = {978-1-60558-726-4},
  keywords     = {color appearance,color reproduction,psychophysics},
}
@misc{Kirk2006,
  title        = {Truelight {{Software Library}} 2.0},
  author       = {Kirk, Richard},
  year         = 2006,
  urldate      = {2017-07-08},
}
@article{Kirk2019,
  title        = {Chromaticity Coordinates for Graphic Arts Based on
    {{CIE}} 2006 {{LMS}} with Even Spacing of {{Munsell}} Colours},
  author       = {Kirk, Richard A.},
  year         = 2019,
  month        = oct,
  journal      = {Color and Imaging Conference},
  volume       = 27,
  number       = 1,
  pages        = {215--219},
  issn         = {2166-9635},
  doi          = {10.2352/issn.2169-2629.2019.27.38},
  urldate      = {2023-05-14},
}
@article{Konovalenko2021,
  title        = {{{ProLab}}: Perceptually Uniform Projective Colour
    Coordinate System},
  shorttitle   = {{{ProLab}}},
  author       = {Konovalenko, Ivan A. and Smagina, Anna A. and
    Nikolaev, Dmitry P. and Nikolaev, Petr P.},
  year         = 2021,
  month        = jan,
  journal      = {arXiv:2012.07653 [cs]},
  eprint       = {2012.07653},
  primaryclass = {cs},
  urldate      = {2021-08-28},
  abstract     = {In this work, we propose proLab: a new colour
    coordinate system derived as a 3D projective transformation of CIE
    XYZ. We show that proLab is far ahead of the widely used CIELAB
    coordinate system (though inferior to the modern CAM16-UCS)
    according to perceptual uniformity evaluated by the STRESS metric
    in reference to the CIEDE2000 colour difference formula. At the
    same time, angular errors of chromaticity estimation that are
    standard for linear colour spaces can also be used in proLab since
    projective transformations preserve the linearity of manifolds.
    Unlike in linear spaces, angular errors for different hues are
    normalized according to human colour discrimination thresholds
    within proLab. We also demonstrate that shot noise in proLab is
    more homoscedastic than in CAM16-UCS or other standard colour
    spaces. This makes proLab a convenient coordinate system in which
    to perform linear colour analysis.},
  archiveprefix = {arxiv},
  langid       = {english},
  keywords     = {⛔ No DOI found,Computer Science - Computer Vision
    and Pattern Recognition},
}
@misc{Konovalenko2021a,
  title        = {{{proLab}}\_param.m},
  author       = {Konovalenko, Ivan A.},
  year         = 2021,
}
@article{Krystek1985b,
  title        = {An Algorithm to Calculate Correlated Colour
    Temperature},
  author       = {Krystek, M},
  year         = 1985,
  journal      = {Color Research \& Application},
  volume       = 10,
  number       = 1,
  pages        = {38--40},
  publisher    = {{Wiley Subscription Services, Inc., A Wiley Company}},
  issn         = 03612317,
  doi          = {10.1002/col.5080100109},
}
@misc{Laurent2012a,
  title        = {Reproducibility of Python Pseudo-Random Numbers
    across Systems and Versions?},
  author       = {{Laurent}},
  year         = 2012,
  urldate      = {2015-01-20},
  howpublished = {http://stackoverflow.com/questions/8786084/reproducibility-of-python-pseudo-random-numbers-across-systems-and-versions},
}
@misc{LeicaCameraAG2022,
  title        = {Leica {{L-Log Reference Manual}}},
  author       = {{Leica Camera AG}},
  year         = 2022,
}
@article{Li2002a,
  title        = {{{CMC}} 2000 Chromatic Adaptation Transform:
    {{CMCCAT2000}}},
  author       = {Li, Changjun and Luo, Ming Ronnier and Rigg, Bryan
    and Hunt, Robert W. G.},
  year         = 2002,
  month        = feb,
  journal      = {Color Research \& Application},
  volume       = 27,
  number       = 1,
  pages        = {49--58},
  issn         = {0361-2317},
  doi          = {10.1002/col.10005},
  urldate      = {2014-09-26},
  abstract     = {CMCCAT97 is a chromatic adaptation transform
    included in CIECAM97s, the CIE 1997 colour appearance model, for
    describing colour appearance under different viewing conditions
    and is recommended by, the Colour Measurement Committee of the
    Society, of Dyers and Colourists for predicting the degree of
    colour inconstancy, of surface colours. Among the many, transforms
    tested, this transform gave the most accurate predictions to a
    number of experimental data sets. However, the structure of
    CMCCAT97 is considered complicated and causes problems when
    applications require the use of its reverse mode. This article
    describes a simplified version of CMCCAT97-CMCCAT2000-which not
    only, is significantly, simpler and eliminates the problems of
    reversibility, but also gives a more accurate prediction to almost
    all experimental data sets than does the original transform. (C)
    2002 John Wiley \& Sons, Inc.},
  keywords     = {Chromatic adaptation,Color appearance},
}
@misc{Li2007e,
  title        = {The {{Problem}} with {{CAT02}} and {{Its
    Correction}}},
  author       = {Li, Changjun and Perales, Esther and Luo, Ming
    Ronnier and {Martinez-verdu}, Francisco},
  year         = 2007,
}
@article{Li2017,
  title        = {Comprehensive Color Solutions: {{CAM16}}, {{CAT16}},
    and {{CAM16-UCS}}},
  author       = {Li, Changjun and Li, Zhiqiang and Wang, Zhifeng and
    Xu, Yang and Luo, Ming Ronnier and Cui, Guihua and Melgosa, Manuel
    and Brill, Michael H and Pointer, Michael},
  year         = 2017,
  month        = dec,
  journal      = {Color Research \& Application},
  volume       = 42,
  number       = 6,
  pages        = {703--718},
  issn         = 03612317,
  doi          = {10.1002/col.22131},
  keywords     = {CAM02-UCS,CAT02,chromatic
    adaptation,color-appearance models,color-difference evaluation
    CIECAM02,corresponding color datasets,LUTCHI color-appearance
    datasets},
}
@misc{Lindbloom2003c,
  title        = {Delta {{E}} ({{CIE}} 1976)},
  author       = {Lindbloom, Bruce},
  year         = 2003,
  urldate      = {2014-02-24},
  howpublished = {http://brucelindbloom.com/Eqn\_DeltaE\_CIE76.html},
}
@misc{Lindbloom2003e,
  title        = {{{XYZ}} to {{xyY}}},
  author       = {Lindbloom, Bruce},
  year         = 2003,
  urldate      = {2014-02-24},
  howpublished = {http://www.brucelindbloom.com/Eqn\_XYZ\_to\_xyY.html},
}
@misc{Lindbloom2007a,
  title        = {Spectral {{Power Distribution}} of a {{CIE
    D-Illuminant}}},
  author       = {Lindbloom, Bruce},
  year         = 2007,
  urldate      = {2014-04-05},
  howpublished = {http://www.brucelindbloom.com/Eqn\_DIlluminant.html},
}
@misc{Lindbloom2009d,
  title        = {{{xyY}} to {{XYZ}}},
  author       = {Lindbloom, Bruce},
  year         = 2009,
  urldate      = {2014-02-24},
  howpublished = {http://www.brucelindbloom.com/Eqn\_xyY\_to\_XYZ.html},
}
@misc{Lindbloom2009f,
  title        = {Delta {{E}} ({{CMC}})},
  author       = {Lindbloom, Bruce},
  year         = 2009,
  urldate      = {2014-02-24},
  howpublished = {http://brucelindbloom.com/Eqn\_DeltaE\_CMC.html},
}
@misc{Lindbloom2009g,
  title        = {Chromatic {{Adaptation}}},
  author       = {Lindbloom, Bruce},
  year         = 2009,
  urldate      = {2014-02-24},
  howpublished = {http://brucelindbloom.com/Eqn\_ChromAdapt.html},
}
@misc{Lindbloom2011a,
  title        = {Delta {{E}} ({{CIE}} 1994)},
  author       = {Lindbloom, Bruce},
  year         = 2011,
  urldate      = {2014-02-24},
  howpublished = {http://brucelindbloom.com/Eqn\_DeltaE\_CIE94.html},
}
@misc{Lindbloom2014a,
  title        = {{{RGB Working Space Information}}},
  author       = {Lindbloom, Bruce},
  year         = 2014,
  urldate      = {2014-04-11},
  howpublished = {http://www.brucelindbloom.com/WorkingSpaceInfo.html},
}
@misc{Lindbloom2015,
  title        = {About the {{Lab Gamut}}},
  author       = {Lindbloom, Bruce},
  year         = 2015,
  urldate      = {2018-08-20},
  howpublished = {http://www.brucelindbloom.com/LabGamutDisplayHelp.html},
}
@article{Lu2016c,
  title        = {{{ITP Colour Space}} and {{Its Compression
    Performance}} for {{High Dynamic Range}} and {{Wide Colour Gamut
    Video Distribution}}},
  author       = {Lu, Taoran and Pu, Fangjun and Yin, Peng and Chen,
    Tao and Husak, Walt and Pytlarz, Jaclyn and Atkins, Robin and
    Froehlich, Jan and Su, Guan-Ming},
  year         = 2016,
  journal      = {ZTE Communications},
  volume       = 14,
  number       = 1,
  pages        = {32--38},
  abstract     = {High Dynamic Range (HDR) and Wider Colour Gamut
    (WCG) content represents a greater range of luminance levels and a
    more complete reproduction of colours found in
    real{$\hyphenbullet$}world scenes. The current video distribution
    environments deliver Standard Dynamic Range (SDR) signal
    Y{${'}$}CbCr. For HDR and WCG content, it is desirable to examine
    if such signal format still works well for compression, and to
    know if the overall system performance can be further improved by
    exploring different signal formats. In this paper, ITP (ICTCP)
    colour space is presented. The paper concentrates on examining the
    two aspects of ITP colour space: 1) ITP characteristics in terms
    of signal quantization at a given bit depth; 2) ITP compression
    performance. The analysis and simulation results show that ITP 10
    bit has better properties than Y{${'}$}CbCr{$\hyphenbullet$}PQ
    10bit in colour quantization, constant luminance, hue property and
    chroma subsampling, and it also has good compression efficiency.
    Therefore it is desirable to adopt ITP colour space as a new
    signal format for HDR/WCG video compression.},
  keywords     = {HDR,ICT CP,ITP,WCG,Y{${'}$}CbCr},
}
@article{Luo1996b,
  title        = {The {{LLAB}} (l:C) Colour Model},
  author       = {Luo, Ming Ronnier and Lo, Mei-Chun and Kuo, Wen-Guey},
  year         = 1996,
  month        = dec,
  journal      = {Color Research \& Application},
  volume       = 21,
  number       = 6,
  pages        = {412--429},
  publisher    = {{Wiley Subscription Services, Inc., A Wiley Company}},
  issn         = {0361-2317},
  doi          = {10.1002/(SICI)1520-6378(199612)21:6{$<$}412::AID-COL4{$>$}3.0.CO;2-Z},
  abstract     = {A new colour model, named LLAB(l:c) is derived. It
    includes two parts: the BFD chromatic adaptation transform derived
    by Lam and Rigg, and a modified CIELAB uniform colour space. The
    model's performance was compared with the other spaces and models
    using the LUTCHI Colour Appearance Data Set. The results show that
    LLAB(l:c) model is capable of precisely quantifying the change of
    colour appearance under a wide range of viewing parameters such as
    light sources, surrounds/media, achromatic backgrounds, sizes of
    stimuli, and luminance levels. It had a similar performance as
    that of the Hunt colour appearance model. The LLAB(l:c) model was
    also tested using various colour difference datasets. The model
    gave a similar performance as the state-of-the-art colour
    difference formulae such as CMC, CIE94, and BFD. This performance
    is considered to be very satisfactory, and the model, therefore,
    should be considered for field trials in applications such as
    colour specification, colour difference evaluation, cross-image
    reproduction, gamut mapping, prediction of metamerism and colour
    constancy, and quantification of colour-rendering properties. The
    model does not give predictions for chroma (as distinct from
    colourfulness), or for brightness, and it does not include any rod
    response. \textcopyright{} 1996 John Wiley \& Sons, Inc.},
  keywords     = {chromatic adaptation transform,colour
    appearance,colour appearance model,colour difference,colour
    difference formula,corresponding colours,uniform colour space},
}
@inproceedings{Luo1996c,
  title        = {Two {{Unsolved Issues}} in {{Colour Management}} -
    {{Colour Appearance}} and {{Gamut Mapping}}},
  booktitle    = {Conference: 5th {{International Conference}} on
    {{High Technology}}: {{Imaging Science}} and {{Technology}}
    \textendash{} {{Evolution}} \& {{Promise}}},
  author       = {Luo, Ming Ronnier and Morovic, J{\'a}n},
  year         = 1996,
  pages        = {136--147},
}
@article{Luo1999,
  title        = {Corresponding-Colour Datasets},
  author       = {Luo, M. Ronnier and Rhodes, Peter A.},
  year         = 1999,
  month        = aug,
  journal      = {Color Research \& Application},
  volume       = 24,
  number       = 4,
  pages        = {295--296},
  issn         = {0361-2317},
  doi          = {10.1002/(SICI)1520-6378(199908)24:4{$<$}295::AID-COL10{$>$}3.0.CO;2-K},
  abstract     = {Predicting the binding mode of flexible polypeptides
    to proteins is an important task that falls outside the domain of
    applicability of most small molecule and protein-protein docking
    tools. Here, we test the small molecule flexible ligand docking
    program Glide on a set of 19 non-{$\alpha$}-helical peptides and
    systematically improve pose prediction accuracy by enhancing Glide
    sampling for flexible polypeptides. In addition, scoring of the
    poses was improved by post-processing with physics-based implicit
    solvent MM- GBSA calculations. Using the best RMSD among the top
    10 scoring poses as a metric, the success rate (RMSD {$\leq$} 2.0
    \AA{} for the interface backbone atoms) increased from 21\% with
    default Glide SP settings to 58\% with the enhanced peptide
    sampling and scoring protocol in the case of redocking to the
    native protein structure. This approaches the accuracy of the
    recently developed Rosetta FlexPepDock method (63\% success for
    these 19 peptides) while being over 100 times faster.
    Cross-docking was performed for a subset of cases where an unbound
    receptor structure was available, and in that case, 40\% of
    peptides were docked successfully. We analyze the results and find
    that the optimized polypeptide protocol is most accurate for
    extended peptides of limited size and number of formal charges,
    defining a domain of applicability for this approach.},
}
@article{Luo2006b,
  title        = {Uniform Colour Spaces Based on {{CIECAM02}} Colour
    Appearance Model},
  author       = {Luo, M. Ronnier and Cui, Guihua and Li, Changjun},
  year         = 2006,
  month        = aug,
  journal      = {Color Research \& Application},
  volume       = 31,
  number       = 4,
  pages        = {320--330},
  issn         = {0361-2317},
  doi          = {10.1002/col.20227},
  abstract     = {Can a single colour model be used for all
    colorimetric applications? This article intends to answer that
    question. Colour appearance models have been developed to predict
    colour appearance under different viewing conditions. They are
    also capable of evaluating colour differences because of their
    embedded uniform colour spaces. This article first tests the
    performance of the CIE 2002 colour appearance model, CIECAM02, in
    predicting three types of colour discrimination data sets: large-
    and small-magnitude colour differences under daylight illuminants
    and small-magnitude colour differences under illuminant A. The
    results showed that CIECAM02 gave reasonable performance compared
    with the best available formulae and uniform colour spaces. It was
    further extended to give accurate predictions to all types of

repository: colour-science/colour

repo_name: colour-science/colour

branch_name: refs/heads/develop

gha_language: Python

extension: bib