|Appears in Collections:||Computing Science and Mathematics Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Multiple Description Transform Image Coder Using Correlating Transforms|
|Keywords:||Joint source channel coding|
multiple description coding
|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.|
|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.|
|khelil_article_IREE_modified.pdf||881.98 kB||Adobe PDF||Under Embargo until 31/12/2999 Request a copy|
Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependant on the depositor still being contactable at their original email address.
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
If you believe that any material held in STORRE infringes copyright, please contact firstname.lastname@example.org providing details and we will remove the Work from public display in STORRE and investigate your claim.