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Image coding with the MAP criterion

Eriksson, Tomas LU ; Novak, Mirek LU and Anderson, John B LU (2002) Proceedings DCC 2002 Data Compression Conference p.453-453
Abstract
BCJR based source coding of image residuals is investigated. From a trellis representation of the residual, a joint source-channel coding system is formed. Then the BCJR algorithm is applied to find the MAP encoding. MAP and minimized squared error encoding are compared. The novelty of this work is the use of the BCJR algorithm and the MAP criterion in the source coding procedure. The source encoding system described preserves more features than an MSE based encoder. Also, blocking artifacts are reduced.
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
minimized squared error encoding, decorrelation procedure, convolutional codes, MAP criterion, image coding, maximum a posteriori probability criterion, image residuals, source coding, trellis representation, joint source-channel coding, BCJR algorithm, Bahl-Cocke-Jelinek-Raviv algorithm
host publication
Proceedings, IEEE 2002 Data Compression Conference
pages
1 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
Proceedings DCC 2002 Data Compression Conference
conference location
Snowbird, UT, United States
conference dates
2002-04-02 - 2002-04-04
external identifiers
  • scopus:84942255778
ISBN
0-7695-1477-4
DOI
10.1109/DCC.2002.999996
project
Informations- och kommunikationsteori: Data- och bildkompression
language
English
LU publication?
yes
id
7033d515-2490-4111-811d-96f2ff616b1d (old id 611011)
date added to LUP
2016-04-04 10:07:15
date last changed
2022-01-29 19:48:18
@inproceedings{7033d515-2490-4111-811d-96f2ff616b1d,
  abstract     = {{BCJR based source coding of image residuals is investigated. From a trellis representation of the residual, a joint source-channel coding system is formed. Then the BCJR algorithm is applied to find the MAP encoding. MAP and minimized squared error encoding are compared. The novelty of this work is the use of the BCJR algorithm and the MAP criterion in the source coding procedure. The source encoding system described preserves more features than an MSE based encoder. Also, blocking artifacts are reduced.}},
  author       = {{Eriksson, Tomas and Novak, Mirek and Anderson, John B}},
  booktitle    = {{Proceedings, IEEE 2002 Data Compression Conference}},
  isbn         = {{0-7695-1477-4}},
  keywords     = {{minimized squared error encoding; decorrelation procedure; convolutional codes; MAP criterion; image coding; maximum a posteriori probability criterion; image residuals; source coding; trellis representation; joint source-channel coding; BCJR algorithm; Bahl-Cocke-Jelinek-Raviv algorithm}},
  language     = {{eng}},
  pages        = {{453--453}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Image coding with the MAP criterion}},
  url          = {{https://lup.lub.lu.se/search/files/5465984/644630.ps}},
  doi          = {{10.1109/DCC.2002.999996}},
  year         = {{2002}},
}