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Proceedings Paper

Digital Color Map Compression By Classified Vector Quantization
Author(s): Harsha Potlapalli; Herb Barad; Andrew Martinez
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Paper Abstract

This paper shows that combined color component coding can be performed for the compression of color maps. Classification, which was done to remove the printing irregularities in the maps, reduces the number of colors to a much smaller number which can be stored in a look-up table. Thus, the three bands that form the color map are replaced by a pseudo-color map. The pixel indices in this map are only pointers to their actual colors stored in the look-up table. Combined component coding increases the compression achieved with conventional coding by a factor of three.

Paper Details

Date Published: 1 November 1989
PDF: 10 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970065
Show Author Affiliations
Harsha Potlapalli, Tulane University (United States)
Herb Barad, Tulane University (United States)
Andrew Martinez, Tulane University (United States)

Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

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