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Proceedings Paper

Lossless compression of images based on DPCM and S+P transform
Author(s): Bicheng LI; Tianqiang Peng; Huan SU; Yuqi HUANG; Zhigang GUO
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Paper Abstract

s+P transform proposed by Amir Said[7] is a multiresolution representation method. It can map integers to integers, so it has been used in lossless compression of images with better performance than that of JPEG standard based on linear prediction. To further improve compression performance, this paper presents an efficient lossless compression algorithm of images based on DPCM and S+P transform. Firstly, an error image is obtained from an original image with linear prediction; Secondly, the error image is transformed with S+P transform; Finally, the transformed coefficients will be compressed effectively with entropy coding. We list our software simulation results, which are compared with those of other known algorithms7111011121 for multiresolution-based lossless compression. The comparison shows that our new method is effective and efficient, and produces the best results.

Paper Details

Date Published: 31 July 2002
PDF: 7 pages
Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); doi: 10.1117/12.477163
Show Author Affiliations
Bicheng LI, Information Engineering Univ. (China)
Tianqiang Peng, Information Engineering Univ. (China)
Huan SU, Information Engineering Univ. (China)
Yuqi HUANG, Information Engineering Univ. (China)
Zhigang GUO, Information Engineering Univ. (China)

Published in SPIE Proceedings Vol. 4875:
Second International Conference on Image and Graphics
Wei Sui, Editor(s)

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