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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/44418
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- Title
- Neural networks for image coding: a review
- Author(s)
- Andrew, Lachlan L. H.; Palaniswami, Marimuthu
- Abstract
- Images are forming an increasingly large part of modern communications, bringing the need for efficient and effective compression. This survey aims to give the reader a feel for the wide range of ways in which neural network technology has been applied to image compression. Many variants of vector quantisation are presented which use the topology preservation of the self-organising map in a variety of ways. Image coding using neural networks to guide a classical coding technique have been largely overlooked. Some promising contributions in this area are also discussed. Finally, a range of transform and predictive coding techniques are described.
- Publication type
- Journal article
- Source
- Australian Journal of Intelligent Information Processing Systems, Vol. 2, no. 4 (1996), pp. 10-19
- Publication year
- 1996
- Keyword(s)
- Coding; Neural networks
- Publisher
- Australian National University
- ISSN
- 1321-2133
- Publisher URL
- http://cs.anu.edu.au/
- Copyright
- Copyright © 1996 Australian National University. Published version of the paper reproduced here in accordance with the copyright policy of the publisher.
- Full text
- Peer reviewed
