Comparative Analysis of Color Perception Models for Realistic Visualization in Global Illumination Programs

Abstract

This paper presents an analysis of three current color perception models CIECAM97, CIECAM02 and the Belyaeva-Matveev model and then compares their visual component. The definition of the Belyaeva-Matveev, CIECAM02 and CIECAM97 models is presented, the mathematical aspect of the Belyaeva-Matveev model is explained and the main points of the construction of an algorithm for its realization are described. The algorithm is written in Matlab programming language, which includes a plug-in for synthetic image processing - Image Processing Toolbox. Implementation of the algorithms of the Belyaeva-Matveev, CIECAM02 and CIECAM97 models involves the transition to new observation conditions: from the given initial conditions of creating a synthetic image with the primary values of brightness and color of the object and the background to viewing the image on the monitor screen. In the comparison one and the same initial image passes three algorithms of the investigated models of color perception and, as a result, we can compare the obtained images under the same observation conditions. According to these results we can judge which of the models has the smallest deviation in the accuracy of color and sensation transfer.