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Proceedings Paper

Image coding over noisy channels with memory
Author(s): David Giguet; Glen P. Abousleman; Lina J. Karam
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Paper Abstract

This paper presents a wavelet-based image coder that is optimized for transmission over binary channels with memory. The proposed coder uses a channel-optimized trellis-coded quantizer (COTCQ) designed for a binary first-order Markov channel. The quantizer stage exploits the channel memory by incorporating the characteristics of the additive correlated channel noise during the quantizer design and by using a new trellis structure. The performance of the proposed memory-optimized COTCQ (MCOTCQ) image coding system is presented for different bit error probabilities and noise correlation parameters. It is shown that the performance of the coder is improved significantly when the second-order statistics of the noise are incorporated at the quantizer design level.

Paper Details

Date Published: 26 March 2001
PDF: 10 pages
Proc. SPIE 4391, Wavelet Applications VIII, (26 March 2001); doi: 10.1117/12.421198
Show Author Affiliations
David Giguet, Arizona State Univ. (United States)
Glen P. Abousleman, Motorola (United States)
Lina J. Karam, Arizona State Univ. (United States)


Published in SPIE Proceedings Vol. 4391:
Wavelet Applications VIII
Harold H. Szu; David L. Donoho; Adolf W. Lohmann; William J. Campbell; James R. Buss, Editor(s)

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