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Proceedings Paper

New image-compression algorithm using wavelet analysis
Author(s): Tzu-Hung Cheng; Chi Hau Chen
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Paper Abstract

The conventional approach of using DCT (discrete cosine transform) which is Fourier based has been most popular in industry. The advantages and potentials of image compression using wavelet analysis are now being explored. In this paper a new image compression algorithm based on wavelet analysis is presented that makes use of a lifting scheme and a modification of the 3-D subband coding. The exploitation of contexts in both space-time and space-space brings out an improved algorithm that is both performance effective and computationally efficient. The software system using this algorithm has the advantage that it is much more flexible and less costly than hardware systems. The new algorithm has been tested with the compression of traffic scene video with satisfactory results.

Paper Details

Date Published: 6 July 1998
PDF: 8 pages
Proc. SPIE 3387, Visual Information Processing VII, (6 July 1998); doi: 10.1117/12.316429
Show Author Affiliations
Tzu-Hung Cheng, Univ. of Massachusetts/Dartmouth (United States)
Chi Hau Chen, Univ. of Massachusetts/Dartmouth (United States)

Published in SPIE Proceedings Vol. 3387:
Visual Information Processing VII
Stephen K. Park; Richard D. Juday, Editor(s)

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