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. Categories and Subject Descriptors (according to ACM CCS): I.4.3 [Image Processing and Computer Vision]: Enhancement-Filtering

• Type: Journal
• Year: 2005
• Where: CGF
• Authors: Karl Rasche, Robert Geist, James Westall
• Keywords: CGF 2005, Color Images, Gamut, Image