Seasonal variations in the color statistics of natural images

References

• Attewell D, Baddeley R. The distribution of reflectances within the visual environment. Vision Res 2007; 47: 548–554
   PubMed Web of Science ®Google Scholar
• Beer RD, Wortman J, Horwitz G, MacLeod DIA. Compensation of white for macular filtering. J Vision 2005; 5: 282a
   Google Scholar
• Berlin B, Kay P. Basic color terms: Their universality and evolution. University of California Press, Berkeley 1969
   Google Scholar
• Brainard DH. Cone contrast and opponent modulation color spaces. Human color vision, P Kaiser, RM Boynton. Optical Society of America, Washington DC 1996; 563–579
   Google Scholar
• Brainard DH, Roorda A, Yamauchi Y, Calderone JB, Metha A, Neitz M, Neitz J, Williams DR, Jacobs GH. Functional consequences of the relative numbers of L and M cones. J Opt Soc Am A 2000; 17: 607–614
   Google Scholar
• Brelstaff G, Párraga A, Troscianko T, Carr D. Hyperspectral camera system: Acquisition and analysis. SPIE 1995; 2587: 150–157
   Google Scholar
• Brown RO. The world is not grey. Invest Ophthalmol Visual Sci (Suppl.) 1994; 35: 2165
   Web of Science ®Google Scholar
• Burton GJ, Moorhead IR. Color and spatial structure in natural scenes. Appl Opt 1987; 26: 157–170
   PubMed Web of Science ®Google Scholar
• Changizi M, Zhang Q, Shimojo S. Bare skin, blood and the evolution of primate colour vision. Biol Lett 2006; 22: 217–221
   Web of Science ®Google Scholar
• Delahunt PB, Webster MA, Ma L, Werner JS. Long-term renormalization of chromatic mechanisms following cataract surgery. Visual Neurosci 2004; 21: 301–307
   PubMed Web of Science ®Google Scholar
• Derrington AM, Krauskopf J, Lennie P. Chromatic mechanisms in lateral geniculate nucleus of macaque. J Physiol 1984; 357: 241–265
   PubMed Web of Science ®Google Scholar
• Doi I, Inui T, Lee T-W, Wachtler T, Sejnowski TJ. Spatio-chromatic receptive field properties derived from information-theoretic analyses of cone mosaic responses to natural scenes. Neural Comput 2003; 15: 397–417
   PubMed Web of Science ®Google Scholar
• Dominy NJ, Lucas PW. Ecological importance of trichromatic vision to primates. Nature 2001; 410: 363–366
   PubMed Web of Science ®Google Scholar
• Fernandez AA, Morris MR. Sexual selection and trichromatic color vision in primates: Statistical support for the pre-existing-bias hypothesis. Am Nat 2007; 170: 10–20
   PubMed Web of Science ®Google Scholar
• Golz J, MacLeod DIA. Influence of scene statistics on colour constancy. Nature 2002; 415: 637–640
   PubMed Web of Science ®Google Scholar
• Hendley CD, Hecht S. The colors of natural objects and terrains, and their relation to visual color deficiency. J Opt Soc Am 1949; 39: 870–873
   PubMed Web of Science ®Google Scholar
• Hering B. Seasonal changes in dominating hues in landscapes close to nature. Proceedings of the international conference on color harmony, Budapest. Hungarian Academy of Sciences, In press
   Google Scholar
• Johnson AP, Kingdom FA, Baker CL. Spatiochromatic statistics of natural scenes: First- and second-order information and their correlational structure. J Opt Soc Am A 2005; 22: 2050–2059
   Google Scholar
• Kaiser P, Boynton RM. Human color vision. Optical Society of America, USA 1996
   Google Scholar
• Kay P, Regier T. Resolving the question of color naming universals. Proc Natl Acad Sci 2003; 100: 9085–9089
   PubMed Web of Science ®Google Scholar
• Krauskopf J, Williams DR, Heeley DW. Cardinal directions of color space. Vision Res 1982; 22: 1123–1131
   PubMed Web of Science ®Google Scholar
• Kuehni RG. Variability in unique hue selection: A surprising phenomenon. Color Res Appl 2004; 29: 158–162
   Web of Science ®Google Scholar
• Laughlin SB. Form and function in retinal processing. Trends Neurosci 1987; 10: 478–483
   Web of Science ®Google Scholar
• Lee H-C. A computational model for opponent color encoding. Advanced printing of conference summaries, SPSE's 43rd annual conference, New York. Rochester, 1990
   Google Scholar
• Long F, Yang Z, Purves D. Spectral statistics in natural scenes predict hue, saturation, and brightness. Proc Natl Acad Sci 2006; 103: 6013–6018
   PubMed Web of Science ®Google Scholar
• Lovell P, Tolhurst D, Parraga C, Baddeley R, Leonards U, Troscianko J, Troscianko T. Stability of the color-opponent signals under changes of illuminant in natural scenes. J Opt Soc Am A 2005; 22: 2060–2071
   Google Scholar
• MacLeod DIA, Boynton RM. Chromaticity diagram showing cone excitation by stimuli of equal luminance. J Opt Soc Am 1979; 69: 1183–1186
   PubMed Web of Science ®Google Scholar
• MacLeod DIA, von der Twer T. The pleistochrome: Optimal opponent codes for natural colours. Colour perception: Mind and the physical world, R Mausfeld, D Heyer. Oxford University Press, Oxford 2003; 155–184
   Google Scholar
• Maloney LT. Evaluation of linear models of surface spectral reflectance with small numbers of parameters. J Opt Soc Am A 1986; 3: 1673–1683
   PubMedGoogle Scholar
• Miyahara E, Pokorny J, Smith VC, Baron R, Baron E. Color vision in two observers with highly biased LWS/MWS cone ratios. Vision Res 1998; 38: 601–612
   PubMed Web of Science ®Google Scholar
• Mizokami Y, Werner JS, Crognale MA, Webster MA. Nonlinearities in color coding: Compensating color appearance for the eye's spectral sensitivity. J Vision 2006; 31: 996–1007
   Google Scholar
• Mollon JD. Monge: The Verriest lecture, Lyon, July 2005. Visual Neurosci 2006; 23: 297–309
   PubMed Web of Science ®Google Scholar
• Mollon JD. Tho’ she kneel’d in that place where they grew. J Exp Biol 1989; 146: 21–38
   PubMed Web of Science ®Google Scholar
• Nagle MG, Osorio D. The tuning of human photopigments may minimize red-green chromatic signals in natural conditions. Proc Roy Soc Lond B 1993; 252: 209–213
   PubMed Web of Science ®Google Scholar
• Nascimento S, Ferreira F, Foster DH. Statistics of spatial cone-excitation ratios in natural scenes. J Opt Soc Am A 2002; 19: 1484–1490
   Google Scholar
• Neitz J, Carroll J, Yamauchi Y, Neitz M, Williams DR. Color perception is mediated by a plastic neural mechanism that is adjustable in adults. Neuron 2002; 35: 783–792
   PubMed Web of Science ®Google Scholar
• Osorio D, Bossomaier TRJ. Human cone-pigment spectral sensitivities and the reflectances of natural surfaces. Biol Cybernetics 1992; 67: 217–222
   PubMed Web of Science ®Google Scholar
• Osorio D, Vorobyev M. Colour vision as an adaptation to frugivory in primates. Proc Roy Soc Lond B 1996; 263: 593–599
   PubMed Web of Science ®Google Scholar
• Paramei GV, Dedrick D. The anthropology of colour: Interdisciplinary multilevel modelling. John Benjamins, Amsterdam
   Google Scholar
• Párraga CA, Troscianko T, Tolhurst DJ. Spatiochromatic properties of natural images and human vision. Curr Biol 2002; 12: 483–487
   PubMed Web of Science ®Google Scholar
• Philipona DL, O’Regan JK. Color naming, unique hues, and hue cancellation predicted from singularities in reflection properties. Visual Neurosci 2006; 23: 331–339
   PubMed Web of Science ®Google Scholar
• Polyak S. The vertebrate visual system. University of Chicago Press, Chicago 1957
   Google Scholar
• Regan BC, Julliot C, Simmen B, Vienot F, Charles-Dominique P, Mollon JD. Fruits, foliage and the evolution of primate colour vision. Phil Trans Roy Soc Lond, Series B 2001; 356: 229–283
   PubMed Web of Science ®Google Scholar
• Regier T, Kay P, Khetarpal N. Color naming reflects optimal partitions of color space. Proc Natl Acad Sci 2007; 104: 1436–1441
   PubMed Web of Science ®Google Scholar
• Ruderman DL, Cronin TW, Chiao C-C. Statistics of cone responses to natural images: Implications for visual coding. J Opt Soc Am A 1998; 15: 2036–2045
   Google Scholar
• Schefrin BE, Werner JS. Loci of spectral unique hues throughout the life span. J Opt Am A 1990; 7: 305–311
   PubMedGoogle Scholar
• Shepard RN. The perceptual organization of colors: An adaptation to regularities of the terrestrial world?. The adapted mind, J Barkow, L Cosmides, J Tooby. Oxford University Press, Oxford 1992; 495–532
   Google Scholar
• Smith VC, Pokorny J. Spectral sensitivity of the foveal cone photopigments between 400 and 500 nm. Vision Res 1975; 15: 161–171
   PubMed Web of Science ®Google Scholar
• Stringham JM, Hammond BR, Jr. Compensation for light loss due to filtering by macular pigment: Relation to hue cancellation. Ophthalmic Physiol Optics 2007; 27: 232–237
   PubMed Web of Science ®Google Scholar
• Sumner P, Mollon JD. Chromaticity as a signal of ripeness in fruits taken by primates. J Exp Biol 2000; 203: 1987–2000
   PubMed Web of Science ®Google Scholar
• Switkes E, Crognale MA. Comparison of color and luminance contrast: Apples versus oranges?. Vision Res 1999; 39: 1823–1831
   PubMed Web of Science ®Google Scholar
• Troscianko T, Baddeley R, Parraga CA, Leonards U, Troscianko J. Visual encoding of green leaves in primate vision (Abstract). J Vision 2003; 3: 137a
   Google Scholar
• Webster MA, Malkoc G, Bilson AC, Webster MA. Color contrast and contextual influences on color appearance. J Vision 2002a; 2: 505–519
   PubMed Web of Science ®Google Scholar
• Webster MA, Miyahara E, Malkoc G, Raker VE. Variations in normal color vision. II: Unique hues. J Opt Soc Am A 2000; 17: 1545–1555
   Google Scholar
• Webster MA, Mollon JD. The influence of contrast adaptation on color appearance. Vision Res 1994; 34: 1993–2020
   PubMed Web of Science ®Google Scholar
• Webster MA, Mollon JD. Adaptation and the color statistics of natural images. Vision Res 1997; 37: 3283–3298
   PubMed Web of Science ®Google Scholar
• Webster MA, Webster SM, Bharadwadj S, Verma R, Jaikumar J, Madan G, Vaithilingam E. Variations in normal color vision III: Unique hues in Indian and United States observers. J Opt Soc Am A 2002b; 19: 1951–1962
   Google Scholar
• Webster MA, Yasuda M, Haber S, Leonard D, Ballardini N. Adaptation and perceptual norms. In: Rogowitz BE, Pappas TN, Daly SJ, editors. Human vision and electronic imaging XII. SPIE 2007; 6492-1S: 1–11
   Google Scholar
• Werner JS, Schefrin BE. Loci of achromatic points throughout the life span. J Opt Soc Am A 1993; 10: 1509–1516
   PubMedGoogle Scholar
• Yendrikhovskij SN. Computing color categories from statistics of natural images. J Imaging Sci Technol 2001; 45: 409–417
   Web of Science ®Google Scholar