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Trellis based variable rate residual image coding over noisy channels

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Author

Summary, in English

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

Publishing year

2006

Language

English

Pages

252-261

Publication/Series

Proceedings. DCC 2006. Data Compression Conference

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

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

Conference name

IEEE Data Compression Conf.

Conference date

2006-03-28 - 2006-03-30

Status

Published

Project

  • PCC: Algorithm and Hardware

Research group

  • Informations- och kommunikationsteori

ISBN/ISSN/Other

  • ISSN: 1068-0314
  • ISBN: 0769525458