A Comparison Of Techniques For Color Gamut Mismatch Compensation

Publisher Website
Google Scholar
Abstract
Motivated by an increase in aesthetic value and information content, an increasing number of daily activities once performed in monochrome are being converted to color. As a result, the display and printing of color images is becoming an increasingly important topic. An often overlooked limitation of the color display or printing process is that of color gamut mismatch. We investigate both clipping and compression techniques for compensation of one type of color gamut mismatch. Image independent and image dependent algorithms using both linear and nonlinear compression techniques are considered. The lightness, saturation, and hue attributes of color are varied among the techniques in order to better understand in which attributes gamut mismatch errors are least perceptible.

This publication has 0 references indexed in Scilit: