Evaluating gamut mapping algorithms for universal applicability

The aim of this article is to present the evaluation of gamut mapping algor ithms (GMAs) in a series of three experiments intended to serve as the basi s fur developing solutions that are accurate and universally applicable. An evolutionary gamut mapping development strategy is used, in which Jive tes t images are reproduces between a CRT and printed media obtained using diff erent GMAs. Initially: a number of previously published algorithms were cho sen and psychophysically evaluated, whereby an important characteristic of this evaluation was the separate evaluation for individual colour regions w ithin test images. New, algorithms were then developed on this experimental basis, subsequently evaluated, and the process was repeated once more. In this series of experiments, the new GCUSP algorithm, which consists of a ch roma-dependent lightness compression followed by a compression? towards the e lightness of the reproduction cusp on the lightness axis, gave the most a ccurate and stable performance overall. The results of these experiments we re also useful for improving the understanding of some gamut mapping factor s-in particular gamut difference between media. (C) 2001 John Wiley & Sons, Inc.