Color imaging and computer graphics share many of the same problems. Color reproduction systems increasingly lean toward spectral image capture and reproduction, in an attempt to create images that match the originals under any given viewing condition. We set out to use a synthetic image generation technique to create images with full spectral radiometric data at each pixel, for use in color imaging systems analysis. While working on this task, we realized that the standard RGB color model used in computer graphics suffered from the same problems as the typical imaging system. These problems manifest as color errors, which are very noticeable when rendering or imaging metameric objects. Eliminating these errors requires using a more accuiewing condiepresentation. We review some of these alternative methods and strongly encourage their use when accurate color image synthesis is desired.

Publication Date



©1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. This work was supported by the Eastman Kodak Company and Munsell Color Science Laboratory, and was partially completed while we were on sabbatical leave at Cornell University’s Program of Computer Graphics.ISSN:0272-1716 Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014.

Document Type


Department, Program, or Center

Chester F. Carlson Center for Imaging Science (COS)


RIT – Main Campus