Evaluating gamut mapping algorithms for universal applicability

Abstract

The aim of this article is to present the evaluation of gamut mapping algorithms (GMAs) in a series of three experiments intended to serve as the basis for developing solutions that are accurate and universally applicable. An evolutionary gamut mapping development strategy is used, in which five test images are reproduced between a CRT and printed media obtained using different GMAs. Initially, a number of previously published algorithms were chosen and psychophysically evaluated, whereby an important characteristic of this evaluation was the separate evaluation for individual colour regions within 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 chroma-dependent lightness compression followed by a compression towards the lightness of the reproduction cusp on the lightness axis, gave the most accurate and stable performance overall. The results of these experiments were also useful for improving the understanding of some gamut mapping factors-in particular gamut difference between media.

Efficient color routing with a dispersion-controlled waveguide array

“…Gamut mapping algorithms attempt to minimize the effects of clipping by distorting the values of either or both the clipped and non-clipped colors. Variants of the process, still a subject of active research, 25 have been devised for different requirements such as maintaining saturated colors in business graphics or achieving a balanced "realistic" look in pictures, even if none of the resulting colors are accurate. However, you should realize that many RGB to RGB conversion matrices found in the literature are simply the RGB-to-XYZ and XYZ-to-RGB matrices of Equation (23) combined into one, as per ASTM RP 177-93, with no Bradford matrix or gamut mapping.…”

EMCCD color correction based on spectral sensitivity analysis

“…From a color reproduction perspective [20], the proposed method also enlarges an image gamut. Figure 7 shows the results on the xy chromaticity diagram and ab plane of the CIEL summary, Y and Z values are corrected by our proposed method, and X value is almost the same as described below:…”

Color image enhancement technique using gamut mapping based on color space division

“…JND points of the lightness are determined by equation (4) that is formulated experimentally by Greg Ward 12 …”

“…One dimensional gamut mapping uses only one aspect of color attributes, occurring unavoidable problems. The gamut mapping methods proposed by Morovic or Hezog uses lightness and chrominance simultaneously at constant hue plane 2,4 . This method is two dimensional gamut mapping.…”