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Proceedings Paper

Progress on a computational model of achromatic color processing
Author(s): Michael E. Rudd
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Paper Abstract

This paper reports further progress on a computational model of human achromatic color perception first presented at Human Vision and Electronic Imaging VI. The model predicts the achromatic colors of regions within 2D images comprising arbitrary geometric arrangements of luminance patches separated by sharp borders (i.e., Land Mondrian patterns). The achromatic colors of regions of homogeneous luminance are computed from the log luminance ratios at borders. Separate lightness and darkness induction signals are generated at the locations of borders in a cortical representation of the image and spread directionally over several degrees of visual angle. The color assigned to each point in the image is a weighted sum of all of the lightness and darkness signals converging on that point. The spatial convergence of induction signals can be modeled as a diffusive color filling-in process and realized in a neural network. The model has previously been used to predict lightness matches in psychophysical experiments conducted with stimuli consisting of disks and surrounding rings. Here a formal connection is made between the model equations used to predict lightness matches in these experiments and Stevens' power law model of the relationship between brightness and physical intensity. A neural mechanism involving lateral interactions between neurons that detect borders and generate spreading achromatic color induction signals proposed to account for observed changes in the parameters of the model, including the brightness law exponent, with changes in surround size.

Paper Details

Date Published: 17 June 2003
PDF: 12 pages
Proc. SPIE 5007, Human Vision and Electronic Imaging VIII, (17 June 2003); doi: 10.1117/12.477767
Show Author Affiliations
Michael E. Rudd, Univ. of Washington (United States)


Published in SPIE Proceedings Vol. 5007:
Human Vision and Electronic Imaging VIII
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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