On the choice of `wavelet' filters for still image compression

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

`Regularity' is a new criterion brought by wavelet theory over filter banks. It is therefore important to know whether this criterion is relevant for applications such as image compression, in comparison with other filter properties. The following problem is addressed: How do regularity, frequency selectivity and phase act upon the performance of a still image compression scheme using wavelet decomposition? Preliminary results are given for a simple compression scheme using orthonormal separable wavelet transforms, scalar quantization, rate/distortion optimization, various coding criteria, and a large number of `wavelet' filters with balanced regularity, frequency selectivity and phase.

Original languageEnglish
Title of host publicationImage and Multidimensional Signal Processing
PublisherPubl by IEEE
PagesV-550-V-553
ISBN (Print)0780309464
Publication statusPublished - 1 Jan 1993
Externally publishedYes
EventIEEE International Conference on Acoustics, Speech and Signal Processing, Part 5 (of 5) - Minneapolis, MN, USA
Duration: 27 Apr 199330 Apr 1993

Publication series

NameProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume5
ISSN (Print)0736-7791

Conference

ConferenceIEEE International Conference on Acoustics, Speech and Signal Processing, Part 5 (of 5)
CityMinneapolis, MN, USA
Period27/04/9330/04/93

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