Description
Traditional color appearance modeling has recently matured to the point that available, internationally-recommended models such as CIECAM02 are capable of making a wide range of predictions to within the observer variability in color matching and color scaling of stimuli in somewhat simplified viewing conditions. It is proposed that the next significant advances in the field of color appearance modeling will not come from evolutionary revisions of these models. Instead, a more revolutionary approach will be required to make appearance predictions for more complex stimuli in a wider array of viewing conditions. Such an approach can be considered image appearance modeling since it extends the concepts of color appearance modeling to stimuli and viewing environments that are spatially and temporally at the level of complexity of real natural and man-made scenes. This paper reviews the concepts of image appearance modeling, presents iCAM as one example of such a model, and provides a number of examples of the use of iCAM in still and moving image reproduction.
Date of creation, presentation, or exhibit
2003
Document Type
Conference Paper
Department, Program, or Center
Chester F. Carlson Center for Imaging Science (COS)
Recommended Citation
Fairchild, Mark and Johnson, Garrett, "Image appearance modeling" (2003). Accessed from
https://repository.rit.edu/other/488
Presentation Powerpoint
Campus
RIT – Main Campus
Comments
Human Vision and Electronic Imaging VIII (Proceedings of SPIE/IS&T) 5007 (2003) 149-160 Location: Santa Clara, California - Publisher book can be found here: http://www.imaging.org/store/physpub.cfm?seriesid=24&pubid=568 ISBN: 0-8194-4807-9Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014.