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Proceedings Paper

Color image coding using an orthogonal decomposition
Author(s): Jonathan S. Abel; Bhaskaran Vasudev; Ho John Lee
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Paper Abstract

Representations of color images are discussed with regard to the problem of color image coding. Standard color image representations are seen to have components with considerable redundancy, and, accordingly are ill-suited for coding using standard gray-scale image coders. The notion of an uncorrelated or orthogonal representation, in which component images are independent in an L2 sense, is introduced and is shown to have features desirable as a preprocessor to a color image coder. Experiments using both spatial-domain and frequency- domain coders show that the orthogonal representation leads to a 20% - 70% compression ratio improvement over that of RGB or YIQ representations, with less visually objectionable artifacts at low peak signal-to-noise ratios.

Paper Details

Date Published: 19 May 1992
PDF: 10 pages
Proc. SPIE 1657, Image Processing Algorithms and Techniques III, (19 May 1992); doi: 10.1117/12.58313
Show Author Affiliations
Jonathan S. Abel, Tetra Systems Inc. (United States)
Bhaskaran Vasudev, Hewlett-Packard Labs. (United States)
Ho John Lee, Tetra Systems Inc. (United States)

Published in SPIE Proceedings Vol. 1657:
Image Processing Algorithms and Techniques III
James R. Sullivan; Benjamin M. Dawson; Majid Rabbani, Editor(s)

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