Color discrimination enhancement for dichromats using self-organizing color transformation
Information Sciences: an International Journal
A new color blindness cure model based on BP neural network
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
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A physiologically motivated human color visual system model which represents visual information with one brightness component (A) and two chromatic components (C1 and C2) is used to create stimuli for testing the color perception of deuteranomalous trichromats. Two experiments are performed. Using simple ramp patterns, the first experiment finds that three deuteranomalous trichromat test subjects can distinguish variations only in the C2 component of the color vision model. This finding is further tested in the second experiment: a set of paired comparison preference tests. Two altered versions of each of three natural color images are prepared by setting either one of the color components to a constant over the full image. Pairs of an original and a distorted image are presented to the test subjects, and they are asked to indicate which image they prefer. The experimental results indicate that the C1 channel is severely attenuated in the deuteranomalous trichromat test subjects, and that nearly all their color sensation is mediated by the C2 channel of the color vision model