Transform image coding based on joint adaptation of filter banks and tree structures

Pierre Moulin, Kannan Ramchandran, Vladimir Pavlovic

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

Abstract

Recent work on filter banks and related expansions has revealed an interesting insight: different filter bank trees can be regarded as different ways of constructing orthonormal bases for linear signal expansion. In particular, fast algorithms for finding best bases in an operational rate-distortion sense have been successfully used in image coding. Independently of this work, recent research has also explored the design of filter banks that optimize energy compaction for a single signal or a class of signals. In this paper we integrate these two different but complementary approaches to best-basis design and propose an image coder in which subband filter banks, tree structure and quantizers are chosen so as to optimize rate-distortion performance. These optimal filter banks, tree structure and quantizers represent side information. They are selected from a codebook designed from training data, using a rate-distortion criterion.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing
Editors Anon
PublisherIEEE
Pages369-372
Number of pages4
Volume2
StatePublished - 1996
EventProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) - Lausanne, Switz
Duration: Sep 16 1996Sep 19 1996

Other

OtherProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3)
CityLausanne, Switz
Period9/16/969/19/96

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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