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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/2981

Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: Multiple Description Transform Image Coder Using Correlating Transforms
Author(s): Khelil, Khaled
Hussain, Amir
Berrezzek, Farid
Djebbari, Ali
Contact Email: ahu@cs.stir.ac.uk
Keywords: Joint source channel coding
multiple description coding
Image coding
Issue Date: Mar-2010
Publisher: Praise Worthy Prize
Citation: Khelil K, Hussain A, Berrezzek F & Djebbari A (2010) Multiple Description Transform Image Coder Using Correlating Transforms, International Review on Computers and Software, 5 (2), pp. 150-155.
Abstract: The objective of multiple description coding (MDC) is to represent a source into multiple descriptions such that various reconstruction qualities are obtained from different subsets of the descriptions. In this paper, we report an application of a proposed method for MDC to image coding. The method adds statistical redundancy to a set of data such that lost streams can be estimated from the received data. We employ a different way of forming the descriptions. The technique is shown to be more efficient and also overcomes the assumption that requires communication of the DC components reliably through other means.
Type: Journal Article
URI: http://hdl.handle.net/1893/2981
URL: http://www.praiseworthyprize.com/IRECOS.htm
Rights: The publisher has not yet responded to our queries therefore this work cannot be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.
Affiliation: Djillali Liabes University of Sidi Bel Abbes
Computing Science - CSM Dept
University of Badji Mokhtar - Annaba
Djillali Liabes University of Sidi Bel Abbes

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