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Spatial profile of contours inducing long-range color assimilation

Published online by Cambridge University Press:  06 September 2006

FRÉDÉRIC DEVINCK
Affiliation:
Section of Neurobiology, Physiology & Behavior, Department of Ophthalmology & Vision Science, University of California, Davis, Sacramento, California
LOTHAR SPILLMANN
Affiliation:
Brain Research Unit, Department of Neurology, University of Freiburg, Freiburg, Germany
JOHN S. WERNER
Affiliation:
Section of Neurobiology, Physiology & Behavior, Department of Ophthalmology & Vision Science, University of California, Davis, Sacramento, California

Abstract

Color induction was measured using a matching method for two spatial patterns, each composed of double contours. In one pattern (the standard), the contours had sharp edges to induce the Watercolor Effect (WCE); in the other, the two contours had a spatial taper so that the overall profile produced a sawtooth edge, or ramped stimulus. These patterns were chosen based on our previous study demonstrating that the strength of the chromatic WCE depends on a luminance difference between the two contours. Low-pass chromatic mechanisms, unlike bandpass luminance mechanisms, may be expected to be insensitive to the difference between the two spatial profiles. The strength of the watercolor spreading was similar for the two patterns at narrow widths of the contour possibly because of chromatic aberration, but with wider contours, the standard stimulus produced stronger assimilation than the ramped stimulus. This research suggests that luminance-dependent chromatic mechanisms mediate the WCE and that these mechanisms are sensitive to differences in the two spatial profiles of the pattern contours only when they are wide.

Type
PERCEPTION
Copyright
© 2006 Cambridge University Press

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References

REFERENCES

Bradley, A., Zhang, X., & Thibos, L. (1992). Failures of isoluminance caused by ocular chromatic aberrations. Applied Optics 31, 36573667.CrossRefGoogle Scholar
Brainard, D.H. (1997). The psychophysics toolbox. Spatial Vision 10, 433436.CrossRefGoogle Scholar
Brainard, D.H. (1998). Color constancy in the nearly natural image. 2. Achromatic loci. Journal of the Optical Society of America A 15, 307325.CrossRefGoogle Scholar
Brainard, D.H., Pelli, D.G., & Robson, T. (2002). Display characterization. In The Encyclopedia of Imaging Science and Technology, ed. Hornak, J., pp. 172188. Chichester, UK: John Wiley and Sons.CrossRef
Broerse, J., Vladusich, T., & O'Shea, R.P. (1999). Colour at edges and colour spreading in McCollough effects. Vision Research 39, 13051320.CrossRefGoogle Scholar
Campbell, F.W. & Robson, J.G. (1968). Application of Fourier analysis to the visibility of gratings. Journal of Physiology 197, 551566.CrossRefGoogle Scholar
Devinck, F., Delahunt, P.B., Hardy, J.L., Spillmann, L., & Werner, J.S. (2005). The Watercolor effect: Quantitative evidence for luminance-dependent mechanisms of long-range color assimilation. Vision Research 45, 14131424.CrossRefGoogle Scholar
Devinck, F., Delahunt, P.B., Hardy, J.L., Spillmann, L., & Werner, J.S. (2006). Spatial dependence of color assimilation by the watercolor effect. Perception 35, 461468.CrossRefGoogle Scholar
DeWeert, C.M.M. & Spillmann, L. (1995). Assimilation: Asymmetry between brightness and darkness? Vision Research 35, 14131419.Google Scholar
Fach, C. & Sharpe, L. (1986). Assimilative hue shifts in color gratings depend on bar width. Perception & Psychophysics 40, 412418.CrossRefGoogle Scholar
Hardy, J.L., Delahunt, P.B., Okajima, K., & Werner, J.S. (2005). Senescence of spatial chromatic contrast sensitivity. I. Detection under conditions controlling for optical factors. Journal of the Optical Society of America A 22, 4959.Google Scholar
Helson, H. (1963). Studies of anomalous contrast and assimilation. Journal of the Optical Society of America 53, 179184.CrossRefGoogle Scholar
Hurvich, L.M. & Jameson, D. (1974). Opponent processes as a model of neural organization. American Psychologist 40, 122.CrossRefGoogle Scholar
Kingdom, F.A.A. (1996). Pattern discrimination with increment and decrement Craik-Cornsweet-O'Brien stimuli. Spatial Vision 10, 285297.CrossRefGoogle Scholar
Mullen, K.T. (1985). The contrast sensitivity of human colour vision to red-green and blue-yellow chromatic grating. The Journal of Physiology (London) 359, 381400.CrossRefGoogle Scholar
Pelli, D.G. (1997). The Video Toolbox software for visual psychophysics: Transforming numbers into movies. Spatial Vision 10, 437442.CrossRefGoogle Scholar
Pinna, B., Brelstaff, G., & Spillmann, L. (2001). Surface color from boundaries: A new “watercolor” illusion. Vision Research 20, 26692676.CrossRefGoogle Scholar
Ratliff, F. (1985). Influence of contour on contrast: From cave painting to Cambridge psychology. American Philosophical Society 75, 119.CrossRefGoogle Scholar
Reid, R.C. & Shapley, R. (1988). Brightness induction by local contrast and the spatial dependence of assimilation. Vision Research 28, 115132.CrossRefGoogle Scholar
Shevell, S.K. & Cao, D. (2003). Chromatic assimilation: Evidence for a neural mechanism. In Normal and defective colour vision, eds. Mollon, J.D., Pokorny, J. & Knoblauch, K., pp. 114121. New York: Oxford University Press.CrossRef
Smith, V.C., Jin, P.Q., & Pokorny, J. (2001). The role of spatial frequency in color induction. Vision Research 41, 10071021.CrossRefGoogle Scholar