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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
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author
; ; and
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 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
2016-04-01 17:02:27
date last changed
2025-10-14 12:29:11
@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}},
  booktitle    = {{Proceedings. DCC 2006. Data Compression Conference}},
  isbn         = {{0769525458}},
  issn         = {{1068-0314}},
  keywords     = {{data compression; noisy channels; image coding; Trellis coding}},
  language     = {{eng}},
  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}},
  doi          = {{10.1109/DCC.2006.80}},
  year         = {{2006}},
}