K. Khelil, A. Hussain, F. Berrezzek and A. Djebbari (2010) Multiple Description Transform Image Coder Using Correlating Transforms. International Review on Computers and Software , 5(2), 150-155, Praise Worthy Prize
Scientific Publications
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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.
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.
Information
Item Type | Journal |
---|---|
Divisions |
» Laboratory of Electrical Engineering,Electronic and Renewable Energy |
ePrint ID | 524 |
Date Deposited | 2016-04-30 |
Further Information | Google Scholar |
URI | https://univ-soukahras.dz/en/publication/article/524 |
BibTex
@article{uniusa524,
title={Multiple Description Transform Image Coder Using Correlating Transforms},
author={K. Khelil, A. Hussain, F. Berrezzek and A. Djebbari},
journal={International Review on Computers and Software}
year={2010},
volume={5},
number={2},
pages={150-155},
publisher={Praise Worthy Prize}
}
title={Multiple Description Transform Image Coder Using Correlating Transforms},
author={K. Khelil, A. Hussain, F. Berrezzek and A. Djebbari},
journal={International Review on Computers and Software}
year={2010},
volume={5},
number={2},
pages={150-155},
publisher={Praise Worthy Prize}
}