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Proceedings Paper

Predictive codebook design for lossless image compression
Author(s): Giridhar D. Mandyam; Nasir U. Ahmed; Samuel D. Stearns; Neeraj Magotra
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Paper Abstract

This paper describes a new method for lossless image compression where relative pixel values of localized neighborhoods in test images are stored in a codebook. In order to achieve decorrelation of an image's pixels, each neighborhood of a pixel is assigned to a neighborhood in the codebook, and the difference between the actual pixel value and the predicted value from the codebook is coded using an entropy coder. Using the same codebook, one can achieve perfect reconstruction of the image. The method is tested on several standard images and compared with previously published methods. These experiments demonstrate that the new method is an attractive alternative to existing lossless image compression techniques.

Paper Details

Date Published: 13 March 1996
PDF: 7 pages
Proc. SPIE 2669, Still-Image Compression II, (13 March 1996); doi: 10.1117/12.234755
Show Author Affiliations
Giridhar D. Mandyam, Univ. of New Mexico (United States)
Nasir U. Ahmed, Univ. of New Mexico (United States)
Samuel D. Stearns, Univ. of New Mexico (United States)
Neeraj Magotra, Univ. of New Mexico (United States)


Published in SPIE Proceedings Vol. 2669:
Still-Image Compression II
Robert L. Stevenson; Alexander I. Drukarev; Thomas R. Gardos, Editor(s)

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