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Proceedings Paper

Biorthogonal wavelet theory and techniques for image coding
Author(s): Qing-Yun Shi
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Paper Abstract

This paper concentrates on two issues related to wavelet- based image coding. At first, an algebra method is proposed to select biorthogonal wavelets for higher compression ratio and better quality of the reconstructed image. Then, a general algorithm is given to convert a discrete biorthogonal wavelet transform into lifting steps, so that one version of the transform, which maps integers to integers, can support both the lossy and lossless coding to facilitate the region of interest based image compression.

Paper Details

Date Published: 25 September 1998
PDF: 9 pages
Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323564
Show Author Affiliations
Qing-Yun Shi, Peking Univ. (China)

Published in SPIE Proceedings Vol. 3545:
International Symposium on Multispectral Image Processing (ISMIP'98)
Ji Zhou; Anil K. Jain; Tianxu Zhang; Yaoting Zhu; Mingyue Ding; Jianguo Liu, Editor(s)

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