Choice of wavelets for image compression

M. K. Mandal, S. Panchanathan, T. Aboulnasr

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Scopus citations

Abstract

In wavelet-based image coding the choice of wavelets is crucial and determines the coding performance. Current techniques use computationally intensive search procedures to find the optimal basis (type, order and tree). In this paper, we show that searching for optimal wavelet does not always offer a substantial improvement in coding performance over "good" standard wavelets. We propose some guidelines for determining the need to search for the "optimal" wavelets based on the statistics of the image to be coded. In addition, we propose an adaptive wavelet packet decomposition algorithm based on the local transform gain of each stage of the decomposition. The proposed algorithm provides a good coding performance at a substantially reduced complexity.

Original languageEnglish (US)
Title of host publicationInformation Theory and Applications II - 4th Canadian Workshop, Selected Papers
EditorsJean-Yves Chouinard, Paul Fortier, T. Aaron Gulliver
PublisherSpringer Verlag
Pages239-249
Number of pages11
ISBN (Print)9783540617488
DOIs
StatePublished - Jan 1 1996
Externally publishedYes
Event4th Canadian Workshop on Information Theory and Applications, 1995 - Lac Delage, Canada
Duration: May 28 1995May 30 1995

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1133
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th Canadian Workshop on Information Theory and Applications, 1995
CountryCanada
CityLac Delage
Period5/28/955/30/95

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Mandal, M. K., Panchanathan, S., & Aboulnasr, T. (1996). Choice of wavelets for image compression. In J-Y. Chouinard, P. Fortier, & T. A. Gulliver (Eds.), Information Theory and Applications II - 4th Canadian Workshop, Selected Papers (pp. 239-249). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1133). Springer Verlag. https://doi.org/10.1007/bfb0025147