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Optical Engineering

Lossless compression of RGB color images
Author(s): Nasir D. Memon; Khalid Sayood
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Paper Abstract

Although much work has been done toward developing lossless algorithms for compressing image data, most techniques reported have been for two-tone or gray-scale images. It is generally accepted that a color image can be easily encoded by using a gray-scale compression technique on each of the three (say, RGB) color planes. Such an approach, however, fails to take into account the substantial correlations that are present between color planes. Although several lossy compression schemes that exploit such correlations have been reported in the literature, we are not aware of any such techniques for lossless compression. Because of the difference in goals, the best ways of exploiting redundancies for lossy and lossless compression can be, and usually are, very different. We propose and investigate a few lossless compression schemes for RGB color images. Both prediction schemes and error modeling schemes are presented that exploit interirame correlations. Implementation results on a test set of images yield significant improvements.

Paper Details

Date Published: 1 June 1995
PDF: 7 pages
Opt. Eng. 34(6) doi: 10.1117/12.203128
Published in: Optical Engineering Volume 34, Issue 6
Show Author Affiliations
Nasir D. Memon, Northern Illinois Univ. (United States)
Khalid Sayood, Univ. of Nebraska/Lincoln (United States)

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