*. Paljic, Mines ParisTech) * Dominique Lafon-Pham (C2MA mines d'Alès)

S. Chen and A. Beghdadi, Natural enhancement of color image, tourn—l on sm—ge —nd †ideo €ro™essing, 2010.

E. Couka, wodélis—tion des propriétés optiques de peintures p—r mi™rostru™tures —lé—toires et ™—l™uls numériques pp„, 2015.

M. Ben-achour, ƒynthèse et ™—r—™téris—tion multiEé™helle de n—nop—rti™ules pour revêtements —utomo˜iles, pp.61-62, 2015.

F. Da-graça, †—lid—tions per™eptives stéréos™opiques d9sm—ges physi™o ré—listes de m—téri—ux ˜—sées sur des modèles de mi™rostru™ture, p.78, 2015.

J. A. Ferwerda, Three varieties of realism in computer graphics, Human Vision and Electronic Imaging VIII, p.290297, 2003.
DOI : 10.1117/12.473899

P. Shirley, R. K. Morley, P. Sloan, and C. Wyman, Basics of physically-based rendering, in ƒsqq‚e€r esi— PHIP gourses, p.2012

A. Chalmers, K. Debattista, and L. P. Santos, Selective rendering, Proceedings of the 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia , GRAPHITE '06, p.918, 2006.
DOI : 10.1145/1174429.1174431

J. M. Henderson and A. Hollingworth, High-level scene perception, ennu—l review of psyE ™hology, p.243271, 1999.
DOI : 10.1146/annurev.psych.50.1.243

E. Balcetis and D. Dunning, See what you want to see: motivational inuences on visual perception., tourn—l of person—lity —nd so™i—l psy™hology, pp.612-643, 2006.
DOI : 10.1037/0022-3514.91.4.612

J. Schanda, G. Eppeldauer, and G. Sauter, Tristimulus color measurement of self-luminous sources, golorimetryX …nderst—nding the gsi system, p.135157, 2007.

C. Wynn, An introduction to brdf-based lighting, xvidi— gorpor—tion, 2000.

E. Peli, L. Arend, and A. T. Labianca, Contrast perception across changes in luminance and spatial frequency, Journal of the Optical Society of America A, vol.13, issue.10, 1996.
DOI : 10.1364/JOSAA.13.001953

K. Bäuml and . —lf, Simultaneous color constancy: how surface color perception varies with the illuminant, †ision rese—r™h, p.15311550, 1999.

T. N. Pappas, R. J. Safranek, and J. Chen, Perceptual criteria for image quality evaluation, r—nd˜ook of im—ge —nd video pro™essing, p.669684, 2000.

L. T. Maloney and D. H. Brainard, Color and material perception: Achievements and challenges , tourn—l of †ision, 2010.

R. W. Fleming, Visual perception of materials and their properties, †ision rese—r™h, pp.6275-2014

P. Irawan, J. A. Ferwerda, and S. R. Marschner, Perceptually based tone mapping of high dynamic range image streams, p.231242, 2005.

E. Reinhard and K. Devlin, Dynamic range reduction inspired by photoreceptor physiology, †isu—liz—tion —nd gomputer qr—phi™sD siii „r—ns—™tions on, p.1324, 2005.
DOI : 10.1109/tvcg.2005.9

F. Da-graça, A. Paljic, D. Lafon-pham, and P. Callet, Stereoscopy for visual simulation of materials of complex appearance, sƒ8„Gƒ€si ile™troni™ sm—ging, pp.2014-62

A. Sawadogo, yutils d9év—lu—tion de l— qu—lité d9un p—r—métr—ge de propriétés visuellesX ™—s des textures ™ouleur, 2009.

A. Mcnamara, Visual Perception in Realistic Image Synthesis, gomputer qr—phi™s porum, pp.211224-211238, 2001.
DOI : 10.1111/1467-8659.00550

R. Mccann, Visible light-what the human eye sees Photovoltaic Lighting Group, pp.2015-2025, 2013.

R. Sève, ƒ™ien™e de l— ™ouleur E espe™ts physiques et per™eptifs. Chalagam Édition, pp.16-125, 2009.

E. M. Valero and R. Huertas, Color science lecture notes, pp.16-21, 2010.

. Wikipedia, Receptive eld wikipedia, the free encyclopedia, 2015. [Online; accessed 5, 2015.

. Wikipedia, Photoreceptor cell wikipedia, the free encyclopedia, 2015. [Online; accessed 10, 2015.

R. M. Boynton, A system of photometry and colorimetry based on cone excitations, golor ‚ese—r™h 8 eppli™—tion, p.244252, 1986.

A. Ford and A. Roberts, Colour space conversions, ‡estminster …niversityD vondon, p.131, 1998.

D. Malacara, golor vision —nd ™olorimetryX theory —nd —ppli™—tions, 2011.

. Wikipedia, Cie 1931 color space wikipedia, the free encyclopedia, 2015. [Online; accessed 22, 2015.

H. S. Fairman, M. H. Brill, and H. Hemmendinger, How the cie 1931 color-matching functions were derived from wright-guild data, golor ‚ese—r™h 8 eppli™—tion, p.1123, 1997.

M. H. Brill, How the cie 1931 color-matching functions were derived from wright-guild data (erratum), golor ‚ese—r™h 8 eppli™—tion, p.259259, 1998.

M. Kalloniatis and C. Luu, Light and dark adaptation, ‡e˜visionX „he yrg—niz—tion of the ‚etin— —nd †isu—l ƒystem rF uol˜D iF pern—ndezD —nd ‚F xelsonD ƒ—lt v—ke gity @…„AX …niversity of …t—h re—lth ƒ™ien™es genter, 2007.

W. Strouse-watt, How visual acuity is measured, ‚etrieved tune, 2004.

M. Kalloniatis and C. Luu, Visual acuity, ‡e˜visionX „he yrg—niz—tion of the ‚etin— —nd †isu—l ƒystem rF uol˜D iF pern—ndezD —nd ‚F xelsonD ƒ—lt v—ke gity @…„AX …niversity of …t—h re—lth ƒ™ien™es genter, p.28, 2007.

. Wikipedia, Contrast (vision) wikipedia, the free encyclopedia, 2015. [Online; accessed 22, 2015.

G. W. Meyer and A. Liu, Color spatial acuity control of a screen subdivision image synthesis algorithm, in ƒ€siGsƒ8„ IWWP ƒymposium on ile™troni™ sm—gingX ƒ™ien™e —nd „e™hnology, International Society for Optics and Photonics, pp.387399-387428, 1992.

W. K. Middleton and M. C. Holmes, The apparent colors of surfaces of small subtensea preliminary report, tos—, p.582591, 1949.

O. H. Schade, On the quality of color-television images and the perception of color detail, tourn—l of the ƒw€„i, p.801819, 1958.

K. T. Mullen, The contrast sensitivity of human colour vision to red-green and blue-yellow chromatic gratings., „he tourn—l of €hysiology, p.381, 1985.

P. J. Savino and H. V. , Danesh-Meyer, golor etl—s —nd ƒynopsis of glini™—l yphth—lmology! ‡ills iye snstitute!xeuroEyphth—lmology

G. Dagnelie, †isu—l prostheti™sX physiologyD ˜ioengineeringD reh—˜ilit—tion, 2011.

C. C. Gordon, T. Churchill, C. E. Clauser, B. Bradtmiller, and J. T. Mcconville, anthropometric survey of us army personnel: methods and summary statistics, tech. rep., DTIC Document, 1988.

D. Stidwill and R. Fletcher, xorm—l ˜ino™ul—r visionX „heoryD investig—tion —nd pr—™ti™—l —spe™ts, 2010.

A. Saxena, S. H. Chung, and A. Y. Ng, Learning depth from single monocular images, edv—n™es in xeur—l snform—tion €ro™essing ƒystems, p.11611168, 2005.

D. F. Mcallister, ƒtereo —nd QEh hispl—y „e™hnologies, p.127, 2002.

M. Kalloniatis and C. Luu, Temporal resolution, ‡e˜visionX „he yrg—niz—tion of the ‚etin— —nd †isu—l ƒystem rF uol˜D iF pern—ndezD —nd ‚F xelsonD ƒ—lt v—ke gity @…„AX …niversity of …t—h re—lth ƒ™ien™es genter, 2007.

J. Gargasson, Ii-l'÷il et la vision, ×il et physiologie de l— vision, 2010.

B. Heider, L. Spillmann, and E. Peterhans, Stereoscopic illusory contourscortical neuron responses and human perception, tourn—l of gognitive xeuros™ien™e, 2002.

T. Lin, J. Shu, and J. W. Swic, Frame rate modulation for liquid crystal display (lcd), US Patent, vol.6064, issue.35, pp.359-393, 2000.

G. Sharma, Lcds versus crts-color-calibration and gamut considerations, €ro™eedings of the siii, p.605622, 2002.

D. H. Brainard, D. G. Pelli, and T. Robson, Display characterization, in™y™lopedi— of im—gE ing s™ien™e —nd te™hnology, pp.34-37, 2002.

T. Elze and T. G. Tanner, Temporal properties of liquid crystal displays: Implications for vision science experiments, 2012, pp.34-37

S. Baker, Panel technologies. TNT Central, p.34, 2013.

H. B. Gerhard, Twisted nematic liquid crystal displays (tn-lcds), an invention from basel with global eects, 2005.

G. W. Gray and S. M. Kelly, Liquid crystals for twisted nematic display devices, tourn—l of w—teri—ls ghemistry, p.20372050, 1999.

J. Klein, M. Zlatkova, J. Lauritzen, and B. Pierscionek, Photometric and colorimetric measurements of crt and tft monitors for vision research, tourn—l of wodern ypti™s, pp.11591166-2013

J. Display-inc, Ips lcd, 2015. [Online; accessed 27, 2015.

L. Display and I. Technology, [Online; accessed 27, 2015.

J. Lei and X. Zou, Dynamic dithering algorithm and frame rate control technique for liquid crystal display controller, eƒsgD PHHQF €ro™eedingsF Sth sntern—tion—l gonferen™e on, p.740743, 2003.

S. Lee and H. Nam, A new dithering algorithm for higher image quality of liquid crystal displays, gonsumer ile™troni™sD siii „r—ns—™tions on, p.21342138, 2009.

O. Artamonov, X-bit's guide: Contemporary lcd monitor parameters and characteristics, 2004.

N. A. Dodgson, Autostereoscopic 3d displays, gomputer, p.3136, 2005.
DOI : 10.1109/mc.2005.252

S. Pastoor and M. Wöpking, 3-d displays: A review of current technologies, hispl—ys, p.100110, 1997.

M. Halle, Autostereoscopic displays and computer graphics, in egw ƒsqq‚e€r PHHS gourses, p.104, 2005.
DOI : 10.1145/1198555.1198736

T. Kozacki and M. Chlipala, Color holographic display with white light led source and single phase only slm, ypti™s ixpress, pp.21892199-2016
DOI : 10.1364/oe.24.002189

E. Moon, M. Kim, J. Roh, H. Kim, and J. Hahn, Holographic head-mounted display with rgb light emitting diode light source, ypti™s express, pp.65266534-2014
DOI : 10.1364/oe.22.006526

T. Kozacki, G. Finke, P. Garbat, W. Zaperty, and M. Kujawi«ska, Wide angle holographic display system with spatiotemporal multiplexing, ypti™s express, pp.27473-27481
DOI : 10.1364/oe.20.027473

H. Gao, X. Li, Z. He, Y. Su, and T. Poon, Real-time holographic display based on a super fast response thin lm, in tourn—l of €hysi™sX gonferen™e ƒeries, pp.12052-2013

Y. Sando, D. Barada, and T. Yatagai, Holographic 3-d display viewable from all horizontal directions by using a single high-speed slm, in snform—tion ypti™s @‡syAD PHIS IRth ‡orkshop on, pp.12-2015

S. Reichelt, R. Haussler, N. Leister, G. Futterer, H. Stolle et al., Holographic 3-D Displays - Electro-holography within the Grasp of Commercialization, p.129, 2010.
DOI : 10.5772/8650

E. Couka, F. Willot, and D. Jeulin, A mixed boolean and deposit model for the modeling of metal pigments in paint layers, sm—ge en—lysis 8 ƒtereology, pp.125134-2015

E. Couka, F. Willot, D. Jeulin, M. B. Achour, A. Chesnaud et al., Modeling of the multiscale dispersion of nanoparticles in a hematite coating, tourn—l of x—nos™ien™e —nd x—note™hnology, pp.35153521-2015

C. Eberle, Asus vg248qe: A 24-inch, 144 hz gaming monitor under $300. Tom's Hardware, 2013.

T. Elze, Achieving precise display timing in visual neuroscience experiments, tourn—l of neuros™ien™e methods, p.171179, 2010.

S. Tourancheau, P. L. Callet, and D. Barba, Image and video quality assessment using lcd: comparisons with crt conditions, sisgi „r—ns—™tions on pund—ment—ls of ile™troni™sD gommuni™—tions —nd gomputer ƒ™ien™es, p.13831391, 2008.

C. Mantel, J. Korhonen, J. M. Pedersen, S. Bech, E. Nadernejad et al., Modeling the leakage of lcd displays with local backlight for quality assessment, sƒ8„Gƒ€si ile™troni™ sm—ging, pp. 90140M90140M, International Society for Optics and Photonics, p.2014

H. E. Lagroix, M. R. Yanko, and T. M. Spalek, Lcds are better: Psychophysical and photometric estimates of the temporal characteristics of crt and lcd monitors, ettentionD €er™epE tionD 8 €sy™hophysi™s, pp.10331041-2012

M. Bass, E. Stryland, D. Willians, and W. , Woe, r—nd˜ook of ypti™sD volF I, 1995.

Z. Lu and B. Dosher, †isu—l €sy™hophysi™sX prom v—˜or—tory to „heory, 2013.

D. G. Pelli, Pixel independence: Measuring spatial interactions on a crt display, ƒp—ti—l vision, p.443446, 1997.
DOI : 10.1163/156856897x00375

J. Thomas, J. Y. Hardeberg, I. Foucherot, and P. Gouton, The plvc display color characterization model revisited, golor ‚ese—r™h 8 eppli™—tion, pp.449460-449508, 2008.
DOI : 10.1002/col.20447

B. Bastani, B. Cressman, and B. Funt, Calibrated color mapping between lcd and crt displays: A case study, golor ‚ese—r™h 8 eppli™—tion, p.438447, 2005.
DOI : 10.1002/col.20156

R. Byshko and S. Li, Characterization of iphone displays: a comparative study, 2012.

C. Mccamy, Observation and measurement of the appearance of metallic materials. part i. macro appearance, golor ‚ese—r™h 8 eppli™—tion, p.292304, 1996.

C. Mccamy, Observation and measurement of the appearance of metallic materials. part ii. micro appearance, golor ‚ese—r™h 8 eppli™—tion, p.362373, 1998.

D. Alleysson and N. Guyader, Retinal processing: From biology to models and applications, fiologi™—lly snspired gomputer †isionX pund—ment—ls —nd eppli™—tions, p.2015
DOI : 10.1002/9783527680863.ch3

S. Jang, E. Kim, S. Lee, and K. Sohng, Adaptive colorimetric characterization of digital camera with white balance, in sm—ge en—lysis —nd ‚e™ognition, p.712719, 2005.

G. Hong, M. Luo, and P. Rhodes, A study of digital camera colorimetric characterization based on polynomial modeling, golorX ‚ese—r™h —nd —ppli™—tions, pp.7684-65, 2001.

H. Lin, S. J. Kim, S. Susstrunk, and M. S. Brown, Revisiting radiometric calibration for color computer vision, in gomputer †ision @sgg†AD PHII siii sntern—tion—l gonferen™e on, pp.129136-2011

A. Alsam and G. Finlayson, Metamer sets without spectral calibration, Journal of the Optical Society of America A, vol.24, issue.9, p.25052512, 2007.
DOI : 10.1364/JOSAA.24.002505

N. Joshi, B. Wilburn, V. Vaish, M. L. Levoy, and M. Horowitz, eutom—ti™ ™olor ™—li˜r—tion for l—rge ™—mer— —rr—ys, 2005.

S. A. Renani, M. Tsukada, and J. Y. Hardeberg, Compensating for non-uniform screens in projection display systems, Color Imaging XIV: Displaying, Processing, Hardcopy, and Applications, p.131, 2009.
DOI : 10.1117/12.810493

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.544.7392

E. Kirchner and J. Ravi, Predicting and measuring the perceived texture of car paints, in €redi™ting €er™eptionsX €ro™eedings of the Qrd sntern—tion—l gonferen™e on eppe—r—n™e, pp.25-2012

P. Thompson, Eyes wide apart: Overestimating interpupillary distance, €i‚gi€„syxE vyxhyxE, p.651656, 2002.
DOI : 10.1068/p3350

W. A. Ijsselsteijn, H. De-ridder, and J. Vliegen, Subjective evaluation of stereoscopic images: eects of camera parameters and display duration, gir™uits —nd ƒystems for †ideo „e™hnologyD siii „r—ns—™tions on, p.225233, 2000.

P. Bourke, Calculating stereo pairs, gourse notesF €u˜lished ˜y „he ƒwin˜urne gentre for estrophysi™s —nd ƒuper™omputingX eustr—li—F, p.71, 1999.

R. Sumner, Processing raw images in matlab, 2014.

K. Tsukida and M. R. Gupta, How to analyze paired comparison data, tech. rep., DTIC Document, 2011.

J. Mardaljevic, Validation of a lighting simulation program under real sky conditions, vightE ing rese—r™h —nd „e™hnology, p.181188, 1995.

F. Drago and K. Myszkowski, Validation proposal for global illumination and rendering techniques, gomputers 8 qr—phi™s, p.511518, 2001.
DOI : 10.1016/s0097-8493(01)00072-3

D. P. Greenberg, K. E. Torrance, P. Shirley, J. Arvo, E. Lafortune et al., A framework for realistic image synthesis, €ro™eedings of the PRth —nnu—l ™onferen™e on gomputer gr—phi™s —nd inter—™tive te™hniques, p.477494, 1997.
DOI : 10.1145/310930.310970

M. Melis, M. Miccoli, and D. Quarta, Variante full range su fotocamere nikon: hardware e software fanno sistema e misurano la riettanza spettrale. Nikon eXperience, 2013.

S. Upton, Delta-e: The color dierence, gr‚ywiˆ golorxews, 2005.

D. A. Kerr, A metric for chromaticity dierence. dougkerr.net, 2008.

M. Melgosa, E. Hita, A. Poza, D. H. Alman, and R. S. Berns, Suprathreshold colordierence ellipsoids for surface colors, golor ‚ese—r™h —nd eppli™—tion, pp.148-155, 1997.
DOI : 10.1002/(sici)1520-6378(199706)22:3<148::aid-col3>3.0.co;2-r

R. S. Berns and B. Hou, Rit-dupont supra-threshold color-tolerance individual colordierence pair dataset, golor ‚ese—r™h 8 eppli™—tion, pp.274283-96, 2010.
DOI : 10.1002/col.20548

P. J. Baldevbhai and R. Anand, Color image segmentation for medical images using l* a* b* color space, syƒ‚ tourn—l of ile™troni™s —nd gommuni™—tion ingineering @syƒ‚tigiA, pp.2445-2012

M. R. Luo, G. Cui, and B. Rigg, The development of the cie 2000 colour-dierence formula: Ciede2000, golor ‚ese—r™h 8 eppli™—tion, p.340350, 2001.

D. H. Alman, R. S. Berns, G. D. Snyder, and W. A. Larsen, Performance testing of colordierence metrics using a color tolerance dataset, golor ‚ese—r™h 8 eppli™—tion, p.139151, 1989.

R. S. Berns, D. H. Alman, L. Reni, G. D. Snyder, and M. R. Balonon-rosen, Visual determination of suprathreshold color-dierence tolerances using probit analysis, golor ‚ese—r™h 8 eppli™—tion, p.297316, 1991.

G. Snyder, Visual determination of industrial color-dierence tolerances using probit analysis, 1991.

S. Shen and R. S. Berns, Evaluating color dierence equation performance incorporating visual uncertainty, golor ‚ese—r™h 8 eppli™—tion, p.375390, 2009.
DOI : 10.1002/col.20521

K. F. Karner and M. Prantl, A concept for evaluating the accuracy of computer generated images, in €ro™eedings of the „welfth ƒpring gonferen™e on gomputer qr—phi™s @ƒggq9WTAF‘wwwF ™gF tuwienF —™F —tG£ wpGƒggqWTEpro™eedingsGp—persGu—rnerF psF gz“, 1996.

J. Bärz, N. Henrich, and S. Müller, Validating photometric and colorimetric consistency of physically-based image synthesis, gonferen™e on golour in qr—phi™sD sm—gingD —nd †ision, pp.148154-2010

E. Reinhard, W. Heidrich, P. Debevec, S. Pattanaik, G. Ward et al., righ dyn—mi™ r—nge im—gingX —™quisitionD displ—yD —nd im—geE˜—sed lighting, 2010.

. Workwithcolor and . Com, Color luminance: perceived brightness, luminance and contrast, p.133, 2008.

J. R. Meyer-arendt, Radiometry and Photometry: Units and Conversion Factors, Applied Optics, vol.7, issue.10, pp.20812081-110, 1968.
DOI : 10.1364/AO.7.002081

C. S. Mccamy, H. Marcus, and J. Davidson, A color-rendition chart, tourn—l of epplied €hotogr—phi™ ingineering, p.9599, 1976.