Image coding with the MAP criterion
(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:
https://lup.lub.lu.se/record/611011
- author
- Eriksson, Tomas LU ; Novak, Mirek LU and Anderson, John B LU
- organization
- publishing date
- 2002
- 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}}, }