Re-coloring images for gamuts of lower dimension

Color images have a gamut that typically spans three dimensions. Nevertheless, several important applications, such as the creation of grayscale images for printing and the re-coloring of images for color-deficient viewers, require a reduction of gamut dimension. This paper describes a technique for preserving visual detail while reducing gamut dimension. The technique is derived by focusing on the problem of converting color images to grayscale. A straightforward extension is then provided that allows re-coloring images for color-deficient viewers. Care is taken so that the resulting images remain within the available gamut and visual artifacts are not introduced.