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Trellis based variable rate residual image coding over noisy channels

Eriksson, Tomas LU ; Goertz, Norbert; Novak, Mirek LU and Anderson, John B LU (2006) IEEE Data Compression Conf. p.252-261
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
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
data compression, noisy channels, image coding, Trellis coding
host publication
Proceedings. DCC 2006. Data Compression Conference
pages
10 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE Data Compression Conf.
conference location
Snowbird, UT (USA)
conference dates
2006-03-28 - 2006-03-30
external identifiers
  • scopus:65749087837
ISSN
1068-0314
ISBN
0769525458
DOI
10.1109/DCC.2006.80
project
PCC: Algorithm and Hardware
language
English
LU publication?
yes
id
c10847b7-e1e5-4182-9009-00ebc2e417c6 (old id 637255)
date added to LUP
2007-12-03 15:25:58
date last changed
2019-02-20 08:22:12
@inproceedings{c10847b7-e1e5-4182-9009-00ebc2e417c6,
  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},
  author       = {Eriksson, Tomas and Goertz, Norbert and Novak, Mirek and Anderson, John B},
  isbn         = {0769525458},
  issn         = {1068-0314},
  keyword      = {data compression,noisy channels,image coding,Trellis coding},
  language     = {eng},
  location     = {Snowbird, UT (USA)},
  pages        = {252--261},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Trellis based variable rate residual image coding over noisy channels},
  url          = {http://dx.doi.org/10.1109/DCC.2006.80},
  year         = {2006},
}