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Proceedings Paper

Image appearance modeling
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Paper Abstract

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.

Paper Details

Date Published: 17 June 2003
PDF: 12 pages
Proc. SPIE 5007, Human Vision and Electronic Imaging VIII, (17 June 2003); doi: 10.1117/12.477370
Show Author Affiliations
Mark D. Fairchild, Rochester Institute of Technology (United States)
Garrett M. Johnson, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 5007:
Human Vision and Electronic Imaging VIII
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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