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Journal of Electronic Imaging

Lossless compression of color palette images with one-dimensional techniques
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Paper Abstract

Palette images are widely used on the World Wide Web (WWW) and in game-cartridge applications. Many images used on the WWW are stored and transmitted after they are compressed losslessly with the standard graphics interchange format (GIF), or portable network graphics (PNG). Well-known 2-D compression schemes, such as JPEG-LS and JPEG-2000, fail to yield better compression than GIF or PNG due to the fact that the pixel values represent indices that point to color values in a look-up table. To improve the compression performance of JPEG-LS and JPEG-2000 techniques, several researchers have proposed various reindexing algorithms. We investigate various compression techniques for color palette images. We propose a new technique comprised of a traveling salesman problem (TSP)-based reindexing scheme, Burrows-Wheeler transformation, and inversion ranks. We show that the proposed technique yields better compression gain on average than all the other 1-D compressors and the reindexing schemes that utilize JPEG-LS or JPEG-2000.

Paper Details

Date Published: 1 April 2006
PDF: 11 pages
J. Electron. Imag. 15(2) 023014 doi: 10.1117/1.2194517
Published in: Journal of Electronic Imaging Volume 15, Issue 2
Show Author Affiliations
Ziya Arnavut, SUNY/Fredonia (United States)
Ferat Sahin, Rochester Institute of Technology (United States)


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