Museum Lighting, Colour Constancy and Melanopsin

Museums seek a pragmatic compromise between lighting which causes minimal damage to objects and lighting which allows maximal visitor enjoyment. One way to reduce damage is to choose illumination of a lower Correlated Colour Temperature (CCT), since this contains less short-wavelength radiation, which is generally more damaging. Colour appearance models suggest that a change in CCT alone should not affect visual experience, but there is a long history of studies which aim to find a `preferred' CCT for museum environments. These experiments have often had conflicting findings. One potential cause for this would be if the spectral sensitivity for adaptation differed from the spectral sensitivity for vision, as generally only the chromaticity (not the spectrum) is controlled in such experiments. Such a situation might arise if the recently discovered intrinsically photosensitive Retinal Ganglion Cells (ipRGCs), which express melanopsin, were involved in colour constancy. Two psychophysical experiments were performed whereby observers were adapted to different spectra whilst performing an achromatic matching task. The first experiment used sixteen narrow-band light sources as adapting fields, and the second used two perceptually indistinguishable sources which differed in melanopic power. Neither experiment found evidence for a role of melanopsin in colour constancy, but it was noted that the model of colour constancy implicitly under examination was under-developed and did not produce clear predictions. Regarding this, an exploratory computational study was performed, to explore whether, and in what way, a melanopsin signal might contribute to an observer's ability to achieve colour constancy. It was found that a normalised melanopic signal provided a means by which colour constancy could be roughly achieved, without the need for scene-level regularities which other algorithms rely upon. Additionally, a novel method for performing colour constancy experiments upon a tablet computer was developed, so that experiments could be run more easily within real world environments.

[1]  Flávio P. Ferreira,et al.  Statistics of spatial cone-excitation ratios in natural scenes. , 2002, Journal of the Optical Society of America. A, Optics, image science, and vision.

[2]  Does Melanopsin Bistability Have Physiological Consequences? , 2008, Journal of biological rhythms.

[3]  Ayan Chakrabarti,et al.  Color Constancy by Learning to Predict Chromaticity from Luminance , 2015, NIPS.

[4]  A Pokorska,et al.  Book of Abstracts, Museum Lighting Symposium and Workshops , 2017 .

[5]  Glenn Healey,et al.  Using reflectance models for color scanner calibration. , 2002, Journal of the Optical Society of America. A, Optics, image science, and vision.

[6]  L. Maloney Evaluation of linear models of surface spectral reflectance with small numbers of parameters. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[7]  Samer Hattar,et al.  Central projections of melanopsin‐expressing retinal ganglion cells in the mouse , 2006, The Journal of comparative neurology.

[8]  Dingcai Cao,et al.  Contributions of rhodopsin, cone opsins, and melanopsin to postreceptoral pathways inferred from natural image statistics. , 2014, Journal of the Optical Society of America. A, Optics, image science, and vision.

[9]  Stephen Westland,et al.  Color Selections for Characterization Charts , 2004, CGIV.

[10]  Kwoon Y. Wong,et al.  Synaptic influences on rat ganglion‐cell photoreceptors , 2007, The Journal of physiology.

[11]  Z. Kosztyán,et al.  Introductory experiments on preferred picture illuminations , 2016, 2016 IEEE Lighting Conference of the Visegrad Countries (Lumen V4).

[12]  Luca Konig,et al.  Light And Color In The Outdoors , 2016 .

[13]  D. Norren,et al.  Light adaptation of primate cones: An analysis based on extracellular data , 1983, Vision Research.

[14]  L. Maloney Physics-based approaches to modeling surface color perception , 1999 .

[15]  Graham D. Finlayson,et al.  Chromatic Illumination Discrimination Ability Reveals that Human Colour Constancy Is Optimised for Blue Daylight Illuminations , 2014, PloS one.

[16]  M. Hankins,et al.  The Primary Visual Pathway in Humans Is Regulated According to Long-Term Light Exposure through the Action of a Nonclassical Photopigment , 2002, Current Biology.

[17]  Kirstie J. Whitaker,et al.  Raincloud plots: a multi-platform tool for robust data visualization , 2018, PeerJ Prepr..

[18]  Wendy Davis,et al.  Optimising light source spectrum for object reflectance. , 2015, Optics express.

[19]  Colorimetric analysis of outdoor illumination across varieties of atmospheric conditions. , 2016, Journal of the Optical Society of America. A, Optics, image science, and vision.

[20]  J D Mollon,et al.  Catarrhine photopigments are optimized for detecting targets against a foliage background. , 2000, The Journal of experimental biology.

[21]  Brian V. Funt,et al.  A data set for color research , 2002 .

[22]  A. Stockman,et al.  The spectral sensitivity of the human short-wavelength sensitive cones derived from thresholds and color matches , 1999, Vision Research.

[23]  D. Brainard,et al.  Selective Stimulation of Penumbral Cones Reveals Perception in the Shadow of Retinal Blood Vessels , 2015, PloS one.

[24]  L. P. Morin,et al.  Retinofugal projections in the mouse , 2014, The Journal of comparative neurology.

[25]  J. Peacock Two-dimensional goodness-of-fit testing in astronomy , 1983 .

[26]  Michael A. Lefsky,et al.  Review of studies on tree species classification from remotely sensed data , 2016 .

[27]  Minchen Wei,et al.  Review of measures for light-source color rendition and considerations for a two-measure system for characterizing color rendition. , 2013, Optics express.

[28]  Kwoon Y. Wong,et al.  Intraretinal signaling by ganglion cell photoreceptors to dopaminergic amacrine neurons , 2008, Proceedings of the National Academy of Sciences.

[29]  Steve Fotios,et al.  Research Methods to Avoid Bias in Categorical Ratings of Brightness , 2009 .

[30]  David Connah,et al.  Multispectral Imaging: How Many Sensors Do We Need? , 2004, Color Imaging Conference.

[31]  Kwoon Y. Wong,et al.  Ectopic retinal ON bipolar cell synapses in the OFF inner plexiform layer: Contacts with dopaminergic amacrine cells and melanopsin ganglion cells , 2009, The Journal of comparative neurology.

[32]  C. Cuttle Lighting works of art for exhibition and conservation , 1988 .

[33]  R. M. Boynton,et al.  Chromaticity diagram showing cone excitation by stimuli of equal luminance. , 1979, Journal of the Optical Society of America.

[34]  C. W. Kesner Museum Exhibition Lighting: Visitor Needs and Perceptions of Quality , 1993 .

[35]  Stefan Michalski Damage to museum objects by visible radiation (light) and ultraviolet radiation (uv) , 1987 .

[36]  K. Kapur,et al.  Biophysical Variation within the M1 Type of Ganglion Cell Photoreceptor. , 2017, Cell reports.

[37]  J. Mollon,et al.  Superior discrimination for hue than for saturation and an explanation in terms of correlated neural noise , 2016, Proceedings of the Royal Society B: Biological Sciences.

[38]  J. Cohen Dependency of the spectral reflectance curves of the Munsell color chips , 1964 .

[39]  Monica F. Delgado,et al.  Lighting the world's treasures: Approaches to safer museum lighting , 2011 .

[40]  David A. Goss,et al.  Color and Light in Nature , 1997 .

[41]  D. B. Judd,et al.  Spectral Distribution of Typical Daylight as a Function of Correlated Color Temperature , 1964 .

[42]  Object color naturalness and attractiveness with spectrally optimized illumination. , 2017, Optics express.

[43]  D. L. Macadam Chromatic adaptation. , 1956, Journal of the Optical Society of America.

[44]  J. Kulikowski,et al.  Chips in the sunshine: color constancy with real versus simulated Munsell chips under illuminants adjacent to the daylight locus. , 2018, Journal of the Optical Society of America. A, Optics, image science, and vision.

[45]  Rimantas Vaicekauskas,et al.  Cultural Preferences to Color Quality of Illumination of Different Artwork Objects Revealed by a Color Rendition Engine , 2013, IEEE Photonics Journal.

[46]  William T. Freeman,et al.  Bayesian method for recovering surface and illuminant properties from photosensor responses , 1994, Electronic Imaging.

[47]  Paul D. Gamlin,et al.  Measuring and using light in the melanopsin age , 2014, Trends in Neurosciences.

[48]  E. Talgorn,et al.  Can LEDs help with art conservation? – Impact of different light spectra on paint pigment degradation , 2017 .

[49]  Jussi Parkkinen,et al.  Estimating Color Signal at Different Correlated Color Temperature of Daylight , 2009, ACIVS.

[50]  R. Hunt,et al.  Metamerism and Colour Constancy , 2011 .

[51]  S. Massey,et al.  ON Inputs to the OFF Layer: Bipolar Cells That Break the Stratification Rules of the Retina , 2009, The Journal of Neuroscience.

[52]  Michael R. Pointer,et al.  A memory colour quality metric for white light sources , 2012 .

[53]  T. Schmidt,et al.  Re-evaluating the Role of Intrinsically Photosensitive Retinal Ganglion Cells: New Roles in Image-Forming Functions. , 2016, Integrative and comparative biology.

[54]  Robert J. Lucas,et al.  Human melanopsin forms a pigment maximally sensitive to blue light (λmax ≈ 479 nm) supporting activation of Gq/11 and Gi/o signalling cascades , 2013, Proceedings of the Royal Society B: Biological Sciences.

[55]  W. Marsden I and J , 2012 .

[56]  Dingcai Cao,et al.  Cone and melanopsin contributions to human brightness estimation. , 2018, Journal of the Optical Society of America. A, Optics, image science, and vision.

[57]  C. B. Tanner,et al.  Spectral Distribution of Light in the Forest , 1966 .

[58]  George Alan Blackburn,et al.  Seasonal variations in the spectral reflectance of deciduous tree canopies , 1995 .

[59]  Mahdi Nezamabadi,et al.  Color Appearance Models , 2014, J. Electronic Imaging.

[60]  Manuel Spitschan,et al.  The human visual cortex response to melanopsin-directed stimulation is accompanied by a distinct perceptual experience , 2017, Proceedings of the National Academy of Sciences.

[61]  B. Villmann,et al.  Wavelength Dependence of Light Induced Changes in Reflectance Spectra of Selected Dyes and Pigments , 2018 .

[62]  Qasim Zaidi,et al.  Colour constancy in context: roles for local adaptation and levels of reference. , 2004, Journal of vision.

[63]  Koen Janssens,et al.  Degradation process of lead chromate in paintings by Vincent van Gogh studied by means of synchrotron X-ray spectromicroscopy and related methods. 1. Artificially aged model samples. , 2011, Analytical chemistry.

[64]  Kevin W. Houser,et al.  A review of colour rendering indices and their application to commercial light sources , 2004 .

[65]  Stacey Aston,et al.  Illumination discrimination for chromatically biased illuminations: Implications for color constancy , 2019, Journal of vision.

[66]  Karl R Gegenfurtner,et al.  Time course of chromatic adaptation for color appearance and discrimination , 2000, Vision Research.

[67]  R. V. Van Gelder,et al.  Absence of Long-Wavelength Photic Potentiation of Murine Intrinsically Photosensitive Retinal Ganglion Cell Firing In Vitro , 2008, Journal of biological rhythms.

[68]  R. Stanikunas,et al.  Almost complete colour constancy achieved with full-field adaptation , 2006, Vision Research.

[69]  K. Motokawa,et al.  Functional Structure of the Retinal Fovea and Maxwell's Spot , 1955, Nature.

[70]  S. T. Henderson,et al.  The spectral energy distribution of daylight , 1963 .

[71]  Jussi Parkkinen,et al.  Databases for spectral color science , 2006 .

[72]  S. J.P. Characteristic spectra of Munsell colors , 2002 .

[73]  E. Land,et al.  Lightness and retinex theory. , 1971, Journal of the Optical Society of America.

[74]  Brian V. Funt,et al.  Color constancy under varying illumination , 1995, Proceedings of IEEE International Conference on Computer Vision.

[75]  U. Grünert,et al.  Bipolar input to melanopsin containing ganglion cells in primate retina , 2010, Visual Neuroscience.

[76]  Annette E. Allen,et al.  Melanopsin-Based Brightness Discrimination in Mice and Humans , 2012, Current Biology.

[77]  Peter Morovic,et al.  Metamer-set-based approach to estimating surface reflectance from camera RGB. , 2006, Journal of the Optical Society of America. A, Optics, image science, and vision.

[78]  D. Forger,et al.  Responses to Spatial Contrast in the Mouse Suprachiasmatic Nuclei , 2017, Current Biology.

[79]  Baining Guo,et al.  Real-time rendering of plant leaves , 2005, ACM Trans. Graph..

[80]  M. Pu,et al.  A Visual Circuit Related to Habenula Underlies the Antidepressive Effects of Light Therapy , 2019, Neuron.

[81]  Kee-Hyon Park,et al.  Surface reflectance estimation using the principal components of similar colors , 2007 .

[82]  M. Moseley,et al.  Short-Wavelength Light Sensitivity of Circadian, Pupillary, and Visual Awareness in Humans Lacking an Outer Retina , 2007, Current Biology.

[83]  Andrew Blake,et al.  Bayesian color constancy revisited , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[84]  J. Y. BUCHANAN,et al.  Solar Radiation , 1901, Nature.

[85]  Reiner Lenz,et al.  Group theoretical investigations of daylight spectra , 2004, CGIV.

[86]  David A. Forsyth,et al.  A novel algorithm for color constancy , 1990, International Journal of Computer Vision.

[87]  A Hurlbert,et al.  Formal connections between lightness algorithms. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[88]  J. Werner,et al.  Effect of chromatic adaptation on the achromatic locus: The role of contrast, luminance and background color , 1982, Vision Research.

[89]  Zeng-yuan Li,et al.  [The changes of forest canopy spectral reflectance with seasons in Xiaoxing'anling]. , 2013, Guang pu xue yu guang pu fen xi = Guang pu.

[90]  Peter B. Delahunt An evaluation of color constancy across illumination and mutual reflection changes , 2001 .

[91]  Franck P. Martial,et al.  Melanopsin-Driven Light Adaptation in Mouse Vision , 2014, Current Biology.

[92]  M. Pointer Color discrimination as a function of observer adaptation. , 1974, Journal of the Optical Society of America.

[93]  James Gordon,et al.  Museum lighting: why are some illuminants preferred? , 2004, Journal of The Optical Society of America A-optics Image Science and Vision.

[94]  Dingcai Cao,et al.  Melanopsin photoreception contributes to human visual detection, temporal and colour processing , 2018, Scientific Reports.

[95]  G. E. Pickard,et al.  Melanopsin Mediates Retrograde Visual Signaling in the Retina , 2012, PloS one.

[96]  Michael H. Brill,et al.  Chromatic adaptation and color constancy: A possible dichotomy , 1986 .

[97]  Michael J. Vrhel,et al.  Color correction using principal components , 1992 .

[98]  L. MacDonald Realistic visualisation of cultural heritage objects , 2015 .

[99]  J. Pokorny,et al.  Melanopsin-expressing ganglion cells in primate retina signal colour and irradiance and project to the LGN , 2005, Nature.

[100]  D. Brainard,et al.  Mechanisms of color constancy under nearly natural viewing. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[101]  Brian V. Funt,et al.  A comparison of computational color constancy algorithms. I: Methodology and experiments with synthesized data , 2002, IEEE Trans. Image Process..

[102]  Graham D. Finlayson,et al.  Shades of Gray and Colour Constancy , 2004, CIC.

[103]  Hisao Tsukamoto,et al.  Cephalochordate Melanopsin: Evolutionary Linkage between Invertebrate Visual Cells and Vertebrate Photosensitive Retinal Ganglion Cells , 2005, Current Biology.

[104]  R. Reid,et al.  The koniocellular pathway in primate vision. , 2000, Annual review of neuroscience.

[105]  A. Hurlbert Colour constancy , 2007, Current Biology.

[106]  Kwoon Y. Wong,et al.  Photoresponse diversity among the five types of intrinsically photosensitive retinal ganglion cells , 2014, The Journal of physiology.

[107]  Howard M. Cooper,et al.  Melanopsin-Dependent Nonvisual Responses: Evidence for Photopigment Bistability In Vivo , 2007, Journal of biological rhythms.

[108]  David H Brainard,et al.  RenderToolbox3: MATLAB tools that facilitate physically based stimulus rendering for vision research. , 2014, Journal of vision.

[109]  Influence of daylight illumination in principal components of natural images. , 2012 .

[110]  A. W. S. Tarrant The Spectral Power Distribution of Daylight , 1968 .

[111]  Spectral distribution of light in forests of the douglas fir zone of southern british columbia , 1968 .

[112]  C C Chiao,et al.  Characterization of natural illuminants in forests and the use of digital video data to reconstruct illuminant spectra. , 2000, Journal of the Optical Society of America. A, Optics, image science, and vision.

[113]  Javier Muñoz de Luna,et al.  Selective Spectral LED Lighting System Applied in Paleolithic Cave Art , 2015 .

[114]  Michael Myer,et al.  Demonstration Assessment of Light-Emitting Diode (LED) Accent Lighting at the Field Museum in Chicago, IL , 2010 .

[115]  M. Théry Forest light and its influence on habitat selection , 2001, Plant Ecology.

[116]  Graham D. Finlayson,et al.  Color in Perspective , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[117]  de Ramos,et al.  Art in a new light: Design and assessment of illuminants to reduce photochemical degradation of works of art , 2009 .

[118]  Paola Iacomussi,et al.  Museum lighting:optimizing the illuminant , 2006 .

[119]  Christine Wilson Kesner Analysis of the Museum Lighting Environment , 1997 .

[120]  Kwoon Y. Wong,et al.  Melanopsin-expressing, Intrinsically Photosensitive Retinal Ganglion Cells (ipRGCs) , 2016 .

[121]  David H. Brainard,et al.  Is Color Constancy Task Independent? , 1996, CIC.

[122]  Peter A. Dacin,et al.  Peter A , 2004 .

[123]  G. E. Pickard,et al.  Melanopsin retinal ganglion cells receive bipolar and amacrine cell synapses , 2003, The Journal of comparative neurology.

[124]  Takuma Morimoto,et al.  Discrimination of spectral reflectance under environmental illumination , 2018, Journal of the Optical Society of America. A, Optics, image science, and vision.

[125]  K. McLaren,et al.  Daylight and Its Spectrum , 1978 .

[126]  Joel Taylor,et al.  Damage functions in heritage science , 2013 .

[127]  Edward N. Pugh,et al.  Physiological Features of the S- and M-cone Photoreceptors of Wild-type Mice from Single-cell Recordings , 2006, The Journal of general physiology.

[128]  Stacey Aston,et al.  What #theDress reveals about the role of illumination priors in color perception and color constancy , 2017, Journal of vision.

[129]  Osamu Masuda,et al.  Best lighting for visual appreciation of artistic paintings--experiments with real paintings and real illumination. , 2014, Journal of the Optical Society of America. A, Optics, image science, and vision.

[130]  F. Viénot,et al.  Domain of metamers exciting intrinsically photosensitive retinal ganglion cells (ipRGCs) and rods. , 2012, Journal of the Optical Society of America. A, Optics, image science, and vision.

[131]  D. Foster,et al.  Frequency of metamerism in natural scenes. , 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.

[132]  Manuel Spitschan,et al.  Variation of outdoor illumination as a function of solar elevation and light pollution , 2016, Scientific Reports.

[133]  Brian A. Wandell,et al.  Illuminant Estimation: Beyond the Bases , 2000, Color Imaging Conference.

[134]  Roger N. Shepard,et al.  The perceptual organization of colors: An adaptation to regularities of the terrestrial world? , 1992 .

[135]  S. R. Das,et al.  Typical Spectral Distributions and Color for Tropical Daylight , 1968 .

[136]  A. Stockman,et al.  The spectral sensitivities of the middle- and long-wavelength-sensitive cones derived from measurements in observers of known genotype , 2000, Vision Research.

[137]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[138]  S. Westland,et al.  Physical modelling of spectral reflectance , 2005 .

[139]  Philippe Denis,et al.  Melanopsin Bistability: A Fly's Eye Technology in the Human Retina , 2009, PloS one.

[140]  William A. P. Smith,et al.  A Statistical Model for Daylight Spectra , 2009, ISVC.

[141]  Maureen E. Stabio,et al.  The M6 cell: A small‐field bistratified photosensitive retinal ganglion cell , 2018, The Journal of comparative neurology.

[142]  S. R. Das,et al.  Spectral Distribution and Color of North Sky at Delhi , 1966 .

[143]  Dingcai Cao,et al.  Evidence for an impact of melanopsin activation on unique white perception. , 2018, Journal of the Optical Society of America. A, Optics, image science, and vision.

[144]  J. Schanda,et al.  Colorimetry : understanding the CIE system , 2007 .

[145]  F. Rieke,et al.  Nonlinear Signal Transfer from Mouse Rods to Bipolar Cells and Implications for Visual Sensitivity , 2002, Neuron.

[146]  C. Holloway,et al.  Effect of environmental factors on how older pedestrians detect an upcoming step , 2018 .

[147]  Stuart N. Peirson,et al.  Melanopsin: an exciting photopigment , 2008, Trends in Neurosciences.

[148]  G. Brainard,et al.  Human melatonin regulation is not mediated by the three cone photopic visual system. , 2001, The Journal of clinical endocrinology and metabolism.

[149]  Francesco Leccese,et al.  Impact of Illumination Correlated Color Temperature, Background Lightness, and Painting Color Content on Color Appearance and Appreciation of Paintings , 2019, LEUKOS.

[150]  Andrew J. Zele,et al.  Melanopsin and Cone Photoreceptor Inputs to the Afferent Pupil Light Response , 2019, Front. Neurol..

[151]  Ichiro Kuriki,et al.  The loci of achromatic points in a real environment under various illuminant chromaticities , 2006, Vision Research.

[152]  J. Werner,et al.  Chromatic adaptation and π mechanisms , 1982 .

[153]  Yoshihiro Ohno,et al.  Color quality scale , 2010 .

[154]  Masayuki Nakajima,et al.  Development and standardization of a spectral characteristics database for evaluating color reproduction in image input devices , 1998, Other Conferences.

[155]  H. Spekreijse,et al.  The “silent substitution” method in visual research , 1982, Vision Research.

[156]  M. D'Zmura Color constancy : surface color from changing illumination , 1992 .

[157]  M. H. Do,et al.  Melanopsin Tristability for Sustained and Broadband Phototransduction , 2015, Neuron.

[158]  J. Cohen,et al.  Metameric color stimuli, fundamental metamers, and Wyszecki's metameric blacks. , 1982, The American journal of psychology.

[159]  D. E. Bowker,et al.  Spectral reflectances of natural targets for use in remote sensing studies , 1985 .

[160]  E. R. Dixon Spectral distribution of Australian daylight , 1978 .

[161]  Mark S. Rea,et al.  Color rendering: A tale of two metrics , 2008 .

[162]  A. Garcia,et al.  Point to point multispectral light projection applied to cultural heritage , 2017, Optical Engineering + Applications.

[163]  M. Ronnier Luo,et al.  A review of chromatic adaptation transforms , 2008 .

[164]  R. Foster,et al.  Regulation of mammalian circadian behavior by non-rod, non-cone, ocular photoreceptors. , 1999, Science.

[165]  A. Kruithof Tubular luminescence lamps for general illumination , 1941 .

[166]  M. Kamermans,et al.  Silent-substitution stimuli silence the light responses of cones but not their output. , 2019, Journal of vision.

[167]  G. Brainard,et al.  Action Spectrum for Melatonin Regulation in Humans: Evidence for a Novel Circadian Photoreceptor , 2001, The Journal of Neuroscience.

[168]  A. Ferrero,et al.  Principal Components Analysis on the spectral Bidirectional Reflectance Distribution Function of ceramic colour standards. , 2011, Optics express.

[169]  Riccardo Storchi,et al.  Melanopsin Contributions to the Representation of Images in the Early Visual System , 2017, Current Biology.

[170]  Roy S. Berns,et al.  A review of principal component analysis and its applications to color technology , 2005 .

[171]  Stuart Robson,et al.  Estimating Chromatic Adaptation in a Museum Environment Using a Tablet Computer , 2016 .

[172]  F. Viénot,et al.  The Verriest Lecture: Visual properties of metameric blacks beyond cone vision. , 2014, Journal of the Optical Society of America. A, Optics, image science, and vision.

[173]  Christine Wilson Kesner Museum exhibition lighting: Effectiveness of subjective and objective evaluation measures , 1993 .

[174]  L. Arend,et al.  Simultaneous color constancy. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[175]  M. Spitschan Melanopsin contributions to non-visual and visual function , 2019, Current Opinion in Behavioral Sciences.

[176]  G. Aguirre,et al.  Vision: Melanopsin as a Raumgeber , 2017, Current Biology.

[177]  Measurement of Color Rendering Tolerances , 1959 .

[178]  E. Milner,et al.  A Population Representation of Absolute Light Intensity in the Mammalian Retina , 2017, Cell.

[179]  Manuel Spitschan,et al.  The Method of Silent Substitution for Examining Melanopsin Contributions to Pupil Control , 2018, Front. Neurol..

[180]  D H Brainard,et al.  Analysis of the retinex theory of color vision. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[181]  M. H. Do Melanopsin and the Intrinsically Photosensitive Retinal Ganglion Cells: Biophysics to Behavior , 2019, Neuron.

[182]  Stuart Robson,et al.  How is museum lighting selected? An insight into current practice in UK museums , 2017 .

[183]  S. D. Hordley,et al.  Reevaluation of color constancy algorithm performance. , 2006, Journal of the Optical Society of America. A, Optics, image science, and vision.

[184]  Karl Gegenfurtner,et al.  Determinants of Colour Constancy and the Blue Bias , 2017, i-Perception.

[185]  David A. Forsyth,et al.  Colour constancy and its applications in machine vision , 1988 .

[186]  Mark S. Rea,et al.  A practical and predictive two-metric system for characterizing the color rendering properties of light sources used for architectural applications , 2010, International Optical Design Conference.

[187]  Wendy Davis,et al.  Toward an improved color rendering metric , 2005, SPIE Optics + Photonics.

[188]  Friedrich Steinle,et al.  Entering New Fields: Exploratory Uses of Experimentation , 1997, Philosophy of Science.

[189]  João Manuel Maciel Linhares,et al.  Correlated color temperature preferred by observers for illumination of artistic paintings. , 2008, Journal of the Optical Society of America. A, Optics, image science, and vision.

[190]  D. L. Loe,et al.  Preferred lighting conditions for the display of oil and watercolour paintings , 1982 .

[191]  M. Hibi,et al.  Color opponency with a single kind of bistable opsin in the zebrafish pineal organ , 2018, Proceedings of the National Academy of Sciences.

[192]  E H Land,et al.  Recent advances in retinex theory and some implications for cortical computations: color vision and the natural image. , 1983, Proceedings of the National Academy of Sciences of the United States of America.

[193]  Franck P. Martial,et al.  Form vision from melanopsin in humans , 2019, Nature Communications.

[194]  M. Luo,et al.  Various chromatic-adaptation transformations tested using new colour appearance data in textiles , 1995 .

[195]  Y. Shichida,et al.  Photochemical properties of mammalian melanopsin. , 2012, Biochemistry.

[196]  Chromatic Adaptation in an Immersive Viewing Environment , 2013 .

[197]  M. Li,et al.  Optical chlorophyll sensing system for banana ripening , 1997 .

[198]  M. G. J. Minnaert,et al.  Light and colour in the open air , 1940 .

[199]  Joseph Ernest Petavel,et al.  The colorimetric properties of the spectrum , 1931 .

[200]  Mark E. Gorzynski,et al.  CRT colorimetry. part I: Theory and practice , 1993 .

[201]  J. Henrich,et al.  The weirdest people in the world? , 2010, Behavioral and Brain Sciences.

[202]  Steve Fotios,et al.  Measuring Colour , 2013 .

[203]  Steve Fotios,et al.  A Revised Kruithof Graph Based on Empirical Data , 2017 .

[204]  R. H. Morris,et al.  An Objective Method for Determination of Equivalent Neutral Densities of Color Film Images. II. Determination of Primary Equivalent Neutral Densities , 1954 .

[205]  Lauren E. Welbourne,et al.  Human colour perception changes between seasons , 2015, Current Biology.

[206]  Yoshihiro Ohno,et al.  Practical Use and Calculation of CCT and Duv , 2014 .

[207]  A. H. Taylor,et al.  The Distribution of Energy in the Visible Spectrum of Daylight , 1941 .

[208]  Rolf G. Kuehni,et al.  Color ordered : a survey of color order systems from antiquity to the present , 2008 .

[209]  Jussi Parkkinen,et al.  Vector-subspace model for color representation , 1990 .

[210]  B. Wandell,et al.  Human trichromacy revisited , 2012, Proceedings of the National Academy of Sciences.

[211]  Françoise Viénot,et al.  Kruithof's rule revisited using LED illumination , 2009 .

[212]  Kobus Barnard,et al.  Practical colour constancy , 1999 .

[213]  A. Hurlbert Colour vision: Is colour constancy real? , 1999, Current Biology.

[214]  C. Cuttle A Proposal to Reduce the Exposure to Light of Museum Objects Without Reducing Illuminance or the Levelofvisual Satisfaction of Museum Visitors , 2000 .

[215]  J. Hernández-Andrés,et al.  Color and spectral analysis of daylight in southern Europe. , 2001, Journal of the Optical Society of America. A, Optics, image science, and vision.

[216]  Satchidananda Panda,et al.  Melanopsin Contributions to Irradiance Coding in the Thalamo-Cortical Visual System , 2010, PLoS biology.

[217]  L. Maloney,et al.  Color constancy: a method for recovering surface spectral reflectance. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[218]  Jae Kwon Eem,et al.  Reconstruction of Surface Spectral Reflectances Using Characteristic Vectors of Munsell Colors , 1994, CIC.

[219]  W. D. Wright A re-determination of the trichromatic coefficients of the spectral colours , 1929 .

[220]  Seyed Hossein Amirshahi,et al.  Recovery of reflectance spectra from colorimetric data using principal component analysis embedded regression technique , 2008 .

[221]  D. Brainard,et al.  Human Visual Cortex Responses to Rapid Cone and Melanopsin-Directed Flicker , 2016, The Journal of Neuroscience.

[222]  E. Land Recent advances in retinex theory , 1986, Vision Research.

[223]  D. Brainard,et al.  Color constancy in the nearly natural image. 2. Achromatic loci. , 1998, Journal of the Optical Society of America. A, Optics, image science, and vision.

[224]  A. I. Negueruela,et al.  Use of three tristimulus values from surface reflectance spectra to calculate the principal components for reconstructing these spectra by using only three eigenvectors. , 2006, Journal of the Optical Society of America. A, Optics, image science, and vision.

[225]  S. Poort,et al.  Characterising user preference for white LED light sources with CIE colour rendering index combined with a relative gamut area index , 2017 .

[226]  G D Finlayson,et al.  Spectral sharpening: sensor transformations for improved color constancy. , 1994, Journal of the Optical Society of America. A, Optics, image science, and vision.

[227]  Laurence T. Maloney,et al.  Illuminant cues in surface color perception: tests of three candidate cues , 2001, Vision Research.