Lossless compression of color images in the RGB domain

Nasir D. Memon; Khalid Sayood

doi:10.1117/12.186599

21 September 1994 Lossless compression of color images in the RGB domain

Nasir D. Memon, Khalid Sayood

Proceedings Volume 2298, Applications of Digital Image Processing XVII; (1994) https://doi.org/10.1117/12.186599
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

Although much work has been done towards 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 which 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. In this paper we propose and investigate a few lossless compression schemes for color images. Both prediction schemes and error modeling schemes are presented that exploit inter-frame correlations. Implementation results on a test set of images yield significant improvements.

Citation Download Citation

Nasir D. Memon and Khalid Sayood "Lossless compression of color images in the RGB domain", Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); https://doi.org/10.1117/12.186599

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KEYWORDS

RGB color model

Image compression

Composites

Computer programming

Data modeling

Switching

Performance modeling

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