Method of color image formation taking into account the human perception features

Currently, color image formation is based on the CIE 1931 and CIE 1964 standard colorimetric observer models. Expansion of color gamuts of displays requires narrow spectral power distributions functions of their primary colors. In this case, the use of CIE 1931 and CIE 1964 models leads to color reproduction errors, as these models do not take into account the peculiarities of color vision of a particular user. To reduce color rendering errors caused by individual vision features, a method of color image formation based on the categorical observer model is proposed. The basis of the method is the evaluation of the categorical observer type using binary tests, which can be implemented outside the laboratory conditions on conventional displays with three basic colors. The effectiveness of the method has been confirmed experimentally.