Wavelets for image compression

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

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

5 Scopus citations

Abstract

Wavelet transform is becoming increasingly important in image compression applications because of its flexibility in representing nonstationary signals. Current techniques use exhaustive search procedures that are computationally intensive to find the `optimal' basis (type,order,tree). In this paper, we propose some guidelines based on the statistics of the image to be coded, for determining the need to search for the `optimal' wavelets as well as the improvement that can be achieved by using the `optimal' over `standard' wavelets. The proposed guidelines can be used to find a good initial guess for the exhaustive search if the optimal basis is needed.

Original languageEnglish (US)
Title of host publicationProc IEEE SP Int Symp Time Freq Time Scale Anal
Editors Anon
PublisherIEEE
Pages338-341
Number of pages4
StatePublished - 1994
Externally publishedYes
EventProceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis - Philadelphia, PA, USA
Duration: Oct 25 1994Oct 28 1994

Other

OtherProceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis
CityPhiladelphia, PA, USA
Period10/25/9410/28/94

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Mandal, M. K., Panchanathan, S., & Aboulnasr, T. (1994). Wavelets for image compression. In Anon (Ed.), Proc IEEE SP Int Symp Time Freq Time Scale Anal (pp. 338-341). IEEE.