Trellis based variable rate residual image coding over noisy channels

Tomas Eriksson, Norbert Goertz, Mirek Novak, John B Anderson

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

We consider the lossy image compression problem and propose a model-residual approach. Polynomial basis images encode the model image and powerful new trellis codes quantize the residual part. A simple bit allocation scheme determines the residual bit rates and a variety of rates are attainable without entropy coding. The trellis structure is also used to form a joint source and channel coding scheme for the residual components. Results are shown for the 0.4-1.6 bits per pixel region. Comparisons are made to several state-of-the-art techniques and show that the proposed scheme is very competitive
Original languageEnglish
Title of host publicationProceedings. DCC 2006. Data Compression Conference
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages252-261
Number of pages10
ISBN (Print)0769525458
DOIs
Publication statusPublished - 2006
EventIEEE Data Compression Conf. - Snowbird, UT (USA)
Duration: 2006 Mar 282006 Mar 30

Publication series

Name
ISSN (Print)1068-0314

Conference

ConferenceIEEE Data Compression Conf.
Period2006/03/282006/03/30

Subject classification (UKÄ)

  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • data compression
  • noisy channels
  • image coding
  • Trellis coding

Fingerprint

Dive into the research topics of 'Trellis based variable rate residual image coding over noisy channels'. Together they form a unique fingerprint.

Cite this