A physiological adaptation model and its predictions for different color induction effects

A comprehensive computational biological model based on physiological retinal and cortical color-coded receptive fields and physiological adaptation mechanisms of the first and second order is presented. This order of color processing, of first dealing with the color and then with the color contrast, has a computational advantage, since color correction and enhancement become more cost-effective. The model's prediction of complementary color by color induction is not in agreement with previous suggested mechanisms, the suggested neuronal locus of the mechanism and the assumptions of previous studies that assumed that a complementary effect cannot be derived from an opponent receptive field type. The model succeeds in predicting psychophysical contrast-contrast dual effects. It was also suggested as a cortical chromatic physiological mechanism which has computer vision applications as well. As far as we know, most of the physiological or psychophysical chromatic computational models have not been applied to real images, except for a recent model of D'Zmura and Singer. Which performed gain control equalization. This application shows a pronounced effect (equalization of contrast) only after repeated applications of the contrast gain model.