Abstract

Typical color blindness is a consequence of loss of some types of cones, and the natures of color blindness has been studied through psychophysical experiments and/or predicted by color vision models. This paper describes neural network models for normal and dichromatic color vision which realize nonlinear mapping from cone space defined by cone responses, into perceived color space defined by responses of one achromatic and two chromatic responses.

© 1992 Optical Society of America