Biologically-based neural network model of color constancy and color contrast

To determine the surface reflectance of an object independent of the illuminant, a system must use the spatiochromatic context of the image. The authors have developed a neural network model based on the anatomy and physiology of the visual projection from the retina to V4. The network combines color-opponent and contrast information to achieve a good degree of color constancy. This network has been tested on simulated images corresponding to the stimuli used in well established psychophysical experiments. Responses qualitatively matched human responses to a variety of center-surround and Mondrian test stimuli.<
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