'Universal' transform image coding based on joint adaptation of filter banks, tree structures and quantizers

Vladimir Pavlovic, Kannan Ramchandran, Pierre Moulin

Research output: Contribution to journalConference articlepeer-review

Abstract

Design of adaptive signal transforms for image coding usually follows one of the two approaches: adaptive tree/quantizer design with fixed subband filter banks and adaptive subband filter bank design with fixed quantizer and three topology. This paper aims to integrate these two paradigms in an image coder in which subband filter banks, tree structures and quantizers are all adapted. It designs codebook for the filters, tree and quantizers. The codebook design algorithms uses a training set made of images that are assumed to be representative of the broad class of image interest. Detailed description of the algorithms is presented.

Original languageEnglish (US)
Pages (from-to)464
Number of pages1
JournalData Compression Conference Proceedings
DOIs
StatePublished - 1997
EventProceedings of the 1997 Data Compression Conference, DCC'97 - Snowbird, UT, USA
Duration: Mar 25 1997Mar 27 1997

ASJC Scopus subject areas

  • Computer Networks and Communications

Fingerprint

Dive into the research topics of ''Universal' transform image coding based on joint adaptation of filter banks, tree structures and quantizers'. Together they form a unique fingerprint.

Cite this