Unequal error protection applied to JPEG image transmission using turbo codes

Xiang, Wei and Barbulescu, Sorin Adrian and Pietrobon, Steven S. (2001) Unequal error protection applied to JPEG image transmission using turbo codes. In: 2001 IEEE Information Theory Workshop (ITW'01), September, 2001, Cairns, Australia.

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Abstract

An investigation of unequal error protection (UEP) methods applied to JPEG image transmission using turbo codes is presented. The JPEG image is partitioned into two groups, i.e., DC components and AC components according to their respective sensitivity to channel noise. The highly sensitive DC components are better protected with a lower coding rate, while the less sensitive AC components use a higher coding rate. Simulation results are given to demonstrate how the UEP scheme outperforms the equal error protection (EEP) scheme in terms of bit error rate (BER) and peak signal to noise ratio (PSNR).


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version deposited in accordance with the copyright policy of the publisher. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. Copyright 2001 IEEE. Personal use of this material is permitted. This material is posted here with permission of the IEEE. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Depositing User: Dr Wei Xiang
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 29 Nov 2007 07:00
Last Modified: 02 Jul 2013 22:52
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0804 Data Format > 080401 Coding and Information Theory
URI: http://eprints.usq.edu.au/id/eprint/3392

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