Abstract
Tri-stimulus theory of color perception is not able to justify effectively some well known perception phenomena as color illusions and color constancy. Retinex theory, by Land and McCann, grounds color perception on a color space based on three lightness computed as relative reflectance along multiple exploration paths of the perceived scene. This paper considers in a new light Retinex theory, as a theory which tries to justify not only color constancy but also illusions arising from simultaneous contrast configurations. An improvement to Retinex computational model is presented in the paper, which selects Retinex computation paths by approximating a brownian path. The algorithm has been tested not only on traditional Mondrian patches, but also on natural pictures and photographs and on typical color illusion patches. The examples demonstrate the ability of the model to emulate human color perception behavior.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Download to read the full chapter text
Chapter PDF
References
Albers J. Interaction of Color, Yale University Press, New Haven (1975)
Brainard D.H. and Wandell B.A., “Analysis of the Retinex theory of color vision”, JOSA-A, 3(10), 1651–1661 (1986)
D'Zmura] M., Lennie P. “Mechanisms of Color Constancy”, Journal of Optical Society of America, 3,10, 1662–1672 (1986)
Itten J. Kunst der Farbe, Otto Meier Verlag, Ravensburg (1970)
Judd. D.B. “Appraisal of Land's work on two-primary color projections”, Journal of Optical Society of America 50, 254–268 (1960)
Land E. and McCann J., “Lightness and Retinex Theory”, Journal of Optical Society of America, 61,1, 1–11 (1971)
Land E., “Recent Advances in Retinex Theory and Some Implications for Cortical Computations: Color Vision and the Natural image”, Proc. Natl. Acad. Sci. USA, Vol. 80, 5163–5169 (1983)
Land E., “The Retinex Theory of Color Vision”, Scientific American, 237, 3, 217 (1977)
Landy M.S., Movshon J.A. Ed.s Computational Models of Visual Processing, The MIT Press, Boston (1991)
[10]Luong Quang-Tuan, “La Couleur en Vision par Ordinateur: 1. une Revue”, Rapports de Recherche INRIA, n. 1251 (1990)
[11]Maloney L.T., Wandell R.A. “Color Constancy: A Method for Recovering Surface Spectral Reflectance”, Journal of Optical Society of America, 3,1, 29–33 (1986)
[12]McCann J.J. & Houston K.L., “Calculating Colour Sensation from Arrays of Physical Stimuli”, IEEE Transaction on SMC, SMC-13, 5, 1000–1007 (1983)
[13]Saupe D. “Algorithms for random fractals” in: Barnsley et alt. The Science of Fractal Images, Springer Verlag, New York (1988) IEEE Computer Graphics & Applications, November (1993)
[14]von Helmholtz, H., Optique physiologique, Paris, Edition Jacques Gabay, trad. par Javal E. et Klein N.Th. (1989)
[15]Wandell B.A., Fundations of Vision, Sinauer Associates Inc. Publishers, Sunderland, Massachusetts (1995)
[16]Wyszecky G., Stiles W.S., Color Science: Concepts and Methods, Quantitative Data and Formulas, J. Wiley & Sons, New York (1982) the II Annual Bionics Symposium, Vol.1, 126–141 (1961)
[17]Zeki S. A Vision of the Brain, Blackwell Scientific Pub., Oxford (1993)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1997 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Marini, D., Rizzi, A. (1997). A computational approach to color illusions. In: Del Bimbo, A. (eds) Image Analysis and Processing. ICIAP 1997. Lecture Notes in Computer Science, vol 1310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63507-6_185
Download citation
DOI: https://doi.org/10.1007/3-540-63507-6_185
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-63507-9
Online ISBN: 978-3-540-69585-1
eBook Packages: Springer Book Archive