Digital Color Map Compression By Classified Vector Quantization

Harsha Potlapalli; Herb Barad; Andrew Martinez

doi:10.1117/12.970065

1 November 1989 Digital Color Map Compression By Classified Vector Quantization

Harsha Potlapalli, Herb Barad, Andrew Martinez

Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970065
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

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.

Citation Download Citation

Harsha Potlapalli, Herb Barad, and Andrew Martinez "Digital Color Map Compression By Classified Vector Quantization", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); https://doi.org/10.1117/12.970065

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