Gamut Mapping Based on Color Space Division for Enhancement of Lightness Contrast and Chrominance

摘要

This article proposes a gamut mapping algorithm based on color space division for cross media color reproduction. Since all color devices have a limited range of producible colors, the colors reproduced by a destination device will invariably differ from those of the original device. Accordingly, to reduce the color difference between devices, the proposed method divides the whole gamut into parabolic shapes based on the intersection between the lightness tolerance scale and the boundary of the original gamut. This division of the gamut into parabolic shapes and piecewise mapping of each region facilitates both consideration of the gamut characteristics and mapping uniformity. In addition, since the human visual system is more sensitive to lightness variations, the use of a lightness tolerance scale only permits unperceivable lightness mapping variations. As a result, the proposed algorithm is able to reproduce high quality color images even with low cost color devices.