Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-28T03:39:11.116Z Has data issue: false hasContentIssue false
  • English
  • Français

Cone contrasts do not predict color constancy

Published online by Cambridge University Press:  06 September 2006

I.J. MURRAY ,
A. DAUGIRDIENE ,
R. STANIKUNAS ,
H. VAITKEVICIUS  and
J.J. KULIKOWSKI
I.J. MURRAY
Affiliation:
Faculty of Life Sciences, Moffat Building, University of Manchester, Manchester, United Kingdom
A. DAUGIRDIENE
Affiliation:
Department of Psychology Didactics, Vilnius Pedagogical University, Vilnius, Lithuania
R. STANIKUNAS
Affiliation:
Institute of Material and Applied Science, Vilnius University, Vilnius, Lithuania
H. VAITKEVICIUS
Affiliation:
Department of General Psychology, Faculty of Philosophy, Vilnius University, Vilnius, Lithuania
J.J. KULIKOWSKI
Affiliation:
Faculty of Life Sciences, Moffat Building, University of Manchester, Manchester, United Kingdom
Get access Rights & Permissions [Opens in a new window]

Abstract

A successive, asymmetric color-matching paradigm was used to investigate the link between cone contrast and the stability of perceived colors. We measured the perceived color shifts of 10 Munsell samples, induced by test illuminant A, simulated in u′v′ color space. The capacity of the visual system to resist these shifts, otherwise known as color constancy, is measured in terms of the Brunswik ratio, BR. Cone contrasts are calculated with respect to either the physical or perceived background. Subjective cone contrasts show a better fit to the von Kries law than those based on the physical background. Complete cone adaptation occurs when color constancy is high. However we show conditions where cone adaptation seems complete but color constancy is poor.

Keywords

Color constancyCone contrastvon Kries lawPhysical backgroundColor appearance
Type
COLOR CONSTANCY
Information
Visual Neuroscience , Volume 23 , Issue 3-4 , May 2006 , pp. 543 - 547
Copyright
© 2006 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Bäuml, K.H. (1999). Simultaneous colour constancy: How surface colour perception varies with illuminant. Vision Research 39, 1531–1550.CrossRefGoogle Scholar
Bloj, M.G., Kerten, D., & Hurlbert, A.C. (1999). Perception of thee-dimensional shape influences colour perception through mutual illumination. Nature 404, 877–879.Google Scholar
Calkins, D.J. (2001). Seeing with S-cones. Progress in Retinal Research 20, 255–287.CrossRefGoogle Scholar
Chichilnisky, E. & Wandel, B.A. (1995). Photoreceptor sensitivity changes explain colour appearance shifts induced by large uniform backgrounds in dichoptic matching. Vision Research 35, 239–254.CrossRefGoogle Scholar
Dacey, D.M. & Lee, B.B. (1994). The “blue-on” opponent pathway in primate retina originates from a distinct bistratified ganglion cell type. Nature 367, 731–735.CrossRefGoogle Scholar
Daugirdiene, A., Murray, I.J., Vaitkevicius, H., & Kulikowski, J.J. (2006). Cone contrast computations, physical versus perceived background and colour constancy. Spatial Vision (in press).CrossRefGoogle Scholar
Foster, D.H. & Nascimento, S.M.C. (1994). Relational colour constancy from invariant cone-excitation ratios. Proceeding of the Royal Society, B 257 115–121.CrossRefGoogle Scholar
Foster, D.H., Amano, K., & Nascimento, S.M.C. (2001). Color constancy from temporal cues: Better matches with less variability under fast illuminant changes. Vision Research 41, 285–293.CrossRefGoogle Scholar
Hendry, S.H.C. & Reid, R.C. (2000). The koniocellular pathway in primate vision. Annual Reviews in Neuroscience 23, 127–153.CrossRefGoogle Scholar
Hurlbert, A.C., Bramwell, D.I., Heywood, C., & Cowey, A. (1998). Discrimination of cone contrast changes as evidence for colour constancy in achromatopsia. Experimental Brain Research 123, 136–144.CrossRefGoogle Scholar
Kulikowski, J.J., Stanikunas, R., Jurkutaitis, M., Vaitkevicius, H., & Murray, I.J. (2001). Color and brightness shifts for isoluminant samples and backgrounds. Color Research & Application S26, 205–208.3.0.CO;2-G>CrossRefGoogle Scholar
Kulikowski, J.J. & Vaitkevicius, H. (1997). Colour constancy as a function of hue. Acta Psychologica 97, 25–35.CrossRefGoogle Scholar
Lucassen, M.P. & Walraven, J. (1993). Quantifying colour constancy: Evidence for nonlinear processing of cone–specific contrast. Vision Research 33, 739–757.CrossRefGoogle Scholar
Moutoussis, K. & Zeki, S. (2000). A psychophysical dissection of the brain sites involved in color-generating comparisons. Proceedings of the National Academy of Science, USA 97, 8069–8074.CrossRefGoogle Scholar
Murray, I.J., Kulikowski, J.J., Stanikunas, R., Vaitkevicius, H., & Daugirdiene, A. (2005). Color matching of isoluminant samples and backgrounds: A dimming effect. Perception 34, 927–932.CrossRefGoogle Scholar
Nascimento, S.M.C. & Foster, D.H. (2000). Relational colour constancy in achromatic and isoluminant images. Journal of Optical Society of America A 17, 225–231.CrossRefGoogle Scholar
Nascimento, S.M.C., de Almeida, V.M.N., Fiadeiro, P.T., & Foster, D.H. (2005). Effect of scene complexity on colour constancy with real three-dimensional scenes and objects. Perception 34, 947–950.CrossRefGoogle Scholar
Nerger, J.L., Piantanida, T.P., & Larimer, J. (1993). Colour appearance of filled-in backgrounds affects hue cancellation but not detection thresholds. Vision Research 33, 165–172.CrossRefGoogle Scholar
Shevell, S.K. (1978). The dual role of chromatic backgrounds in colour perception. Vision Research 18, 1649–1661.CrossRefGoogle Scholar
Stanikunas, R., Vaitkevicius, H., Kulikowski, J.J., Murray, I.J., & Daugirdiene, A. (2005). Color matching of isoluminant samples and backgrounds: A model. Perception 34, 995–1022.CrossRefGoogle Scholar
Speigle, J.M. & Brainard, D.H. (1999). Predicting colour from grey. The relationship between achromatic adjustment and asymmetric matching. Journal Optical Society of America 10, 2370–2376.Google Scholar
von Kries, J. (1905). In: Sources of colour Science (English translation), ed. MacAdam, L. Cambridge, MA: MIT Press.
Walsh, V., Kulikowski, J.J., Butler, S.R., & Carden, D. (1992). The effects of V4 lesions on the visual abilities of macaques: Colour categorization. Behavioural Brain Research 52, 81–89.CrossRefGoogle Scholar
Walsh, V., Butler, S.R., Carden, D., & Kulikowski, J.J. (1993). The effects of V4 lesions on the visual abilities of macaques: Hue discrimination and colour constancy. Behavioural Brain Research 53, 51–62.CrossRefGoogle Scholar
Walsh, V. (1999). How does the cortex construct colour? Proceedings of the National Academy of Science 96, 13594–13596.Google Scholar
Whittle, P. (2003). Contrast colors. Chapter 3 In: Color Perception, ed. Mausfeld, R. & Heyer, D. New York: Oxford University Press.
Wild, H.M., Butler, S.R., Carden, D., & Kulikowski, J.J. (1985). Primate cortical area V4 important for colour constancy but not wavelength discrimination. Nature, London 313, 133–135.CrossRefGoogle Scholar
Zeki, S. (1983). Colour coding in the cerebral cortex: The reaction in monkey Visual cortex to wavelengths and colours. Neuroscience 9, 741–765.CrossRefGoogle Scholar