Frequency of metamerism in natural scenes.

Estimates of the frequency of metameric surfaces, which appear the same to the eye under one illuminant but different under another, were obtained from 50 hyperspectral images of natural scenes. The degree of metamerism was specified with respect to a color-difference measure after allowing for full chromatic adaptation. The relative frequency of metameric pairs of surfaces, expressed as a proportion of all pairs of surfaces in a scene, was very low. Depending on the criterion degree of metamerism, it ranged from about 10(-6) to 10(-4) for the largest illuminant change tested, which was from a daylight of correlated color temperature 25,000 K to one of 4000 K. But, given pairs of surfaces that were indistinguishable under one of these illuminants, the conditional relative frequency of metamerism was much higher, from about 10(-2) to 10(-1), sufficiently large to affect visual inferences about material identity.

[1]  Journal of the Optical Society of America , 1950, Nature.

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

[3]  Gunther Wyszecki,et al.  Color Science: Concepts and Methods, Quantitative Data and Formulae, 2nd Edition , 2000 .

[4]  J. Cohen,et al.  Color Science: Concepts and Methods, Quantitative Data and Formulas , 1968 .

[5]  J. A. Carnahan,et al.  International Classification and Mapping of Vegetation, Ecology and Conservation Publication No.6, Unesco, Paris, 1973. 215 x 270 mm., 93 pages, text in English, French and Spanish, folded classification sheet inside back cover. Paperback. , 1976 .

[6]  F. E. Nicodemus,et al.  Geometrical considerations and nomenclature for reflectance , 1977 .

[7]  Rolf G. Kuehni Metamerism, exact and approximate , 1983 .

[8]  G. Buchsbaum,et al.  Chromaticity coordinates of frequency-limited functions. , 1984, Journal of the Optical Society of America. A, Optics and image science.

[9]  G. J. Burton,et al.  Color and spatial structure in natural scenes. , 1987, Applied optics.

[10]  D J Field,et al.  Relations between the statistics of natural images and the response properties of cortical cells. , 1987, Journal of the Optical Society of America. A, Optics and image science.

[11]  D. Field,et al.  Human discrimination of fractal images. , 1990, Journal of the Optical Society of America. A, Optics and image science.

[12]  Hugh S. Fairman Recommended terminology for matrix R and metamerism , 1991 .

[13]  F. Billmeyer Notes on indices of metamerism , 1991 .

[14]  D. Tolhurst,et al.  Amplitude spectra of natural images. , 1992, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[15]  Ron Gershon,et al.  Measurement and Analysis of Object Reflectance Spectra , 1994 .

[16]  D. Foster,et al.  Relational colour constancy from invariant cone-excitation ratios , 1994, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[17]  J. Parkkinen,et al.  Classification of the reflectance spectra of pine, spruce, and birch. , 1994, Applied optics.

[18]  David H. Foster,et al.  Role of second- and third-order statistics in the discriminability of natural images , 1997 .

[19]  D. Foster,et al.  Detecting natural changes of cone–excitation ratios in simple and complex coloured images , 1997, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[20]  Christer Sjöström,et al.  State-of-the-art report , 1997 .

[21]  P. Lennie Single Units and Visual Cortical Organization , 1998, Perception.

[22]  P Artal,et al.  Contributions of the cornea and the lens to the aberrations of the human eye. , 1998, Optics letters.

[23]  Sabine Süsstrunk,et al.  Performance of a Chromatic Adaptation Transform based on Spectral Sharpening , 2000, CIC.

[24]  Graham D. Finlayson,et al.  Metamer Crossovers of Infinite Metamer Sets , 2000, Color Imaging Conference.

[25]  M. Luo,et al.  The development of the CIE 2000 Colour Difference Formula , 2001 .

[26]  P. Artal,et al.  Compensation of corneal aberrations by the internal optics in the human eye. , 2001, Journal of vision.

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

[28]  M. Luo,et al.  CMC 2000 Chromatic Adaptation Transform: CMCCAT2000 , 2002 .

[29]  Ján Morovic,et al.  Inter-Relating Colour Difference Metrics , 2002, Color Imaging Conference.

[30]  Marrie van der Mooren,et al.  A new intraocular lens design to reduce spherical aberration of pseudophakic eyes. , 2002, Journal of refractive surgery.

[31]  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.

[32]  Stephen Westland,et al.  Color spaces for discrimination and categorization in natural scenes , 2002, Other Conferences.

[33]  D. Foster Does colour constancy exist? , 2003, Trends in Cognitive Sciences.

[34]  B. Rigg,et al.  CMC 2002 colour inconstancy index; CMCCON02 , 2003 .

[35]  C. Ripamonti,et al.  Computational Colour Science Using MATLAB , 2004 .

[36]  Kinjiro Amano,et al.  Information limits on neural identification of colored surfaces in natural scenes , 2004, Visual Neuroscience.

[37]  David H Foster,et al.  Perceptual Limits on Low-Dimensional Models of Munsell Reflectance Spectra , 2005, Perception.

[38]  Kinjiro Amano,et al.  Information Limits on Identification of Natural Surfaces by Apparent Colour , 2005, Perception.

[39]  Peter Michael Morovic,et al.  Metamer sets , 2005, Journal of the Optical Society of America. A, Optics, image science, and vision.

[40]  D. Tolhurst,et al.  The effects of amplitude-spectrum statistics on foveal and peripheral discrimination of changes in natural images, and a multi-resolution model , 2005, Vision Research.

[41]  Kinjiro Amano,et al.  Psychophysical estimates of the number of spectral-reflectance basis functions needed to reproduce natural scenes. , 2005, Journal of the Optical Society of America. A, Optics, image science, and vision.

[42]  D. Foster,et al.  Color constancy in natural scenes explained by global image statistics , 2006, Visual Neuroscience.

[43]  Kinjiro Amano,et al.  Color constancy in natural scenes with and without an explicit illuminant cue , 2006, Visual Neuroscience.

[44]  P. Artal,et al.  The human eye is an example of robust optical design. , 2006, Journal of vision.

[45]  D. Foster,et al.  Frequency of metamerism in natural scenes , 2006 .

[46]  P. Artal,et al.  Mechanism of compensation of aberrations in the human eye. , 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.

[47]  Pablo Artal,et al.  Intraocular lens to correct corneal coma. , 2007, Optics letters.

[48]  M. Kenward,et al.  An Introduction to the Bootstrap , 2007 .