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19 May 1992 Color image coding using an orthogonal decomposition
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Proceedings Volume 1657, Image Processing Algorithms and Techniques III; (1992)
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jonathan S. Abel, Bhaskaran Vasudev, and Ho John Lee "Color image coding using an orthogonal decomposition", Proc. SPIE 1657, Image Processing Algorithms and Techniques III, (19 May 1992);

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