Complex color management using optimized nonlinear three-dimensional look-up tables

Abstract

Many researchers are working on various aspects of color imaging. However, it is apparent from the papers published that it is difficult for many of them to produce high quality color matching and reproductions. While steps needed to produce calibrated color images are fairly well developed, the problem of implementation high quality color matching and reproduction continues to be a serious problem in terms of creating huge color matching data sets or complicated procedures and last the complexity of creating the appropriate mach is often very significant. To surmount this final barrier, this paper is proposes a method to reduce the complexity of the color matching and reproductions without sacrificing quality. Additionally the amount of data that is collected is also significantly reduced. The color tables are used typical color matching of many deice types. Most of the device color spaces are nonlinear and matching and characterization is done in changing conditions. Typical color image processing techniques use profiles consisting of sparse multi-dimensional lookup tables that interpolate between adjacent nodes to prepare an image for rendering. Due to the proliferation of low-cost colour devices (digital colour cameras, scanners, printers etc.) during the last few years, colour calibration has become an important issue.