Trellis based variable rate residual image coding over noisy channels
(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:
https://lup.lub.lu.se/record/637255
- author
- Eriksson, Tomas LU ; Goertz, Norbert ; Novak, Mirek LU and Anderson, John B LU
- organization
- publishing date
- 2006
- 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
- 2022-01-28 23:55:37
@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}}, }