Image coding over noisy channels with memory

David Giguet; Glen P. Abousleman; Lina J. Karam

doi:10.1117/12.421198

26 March 2001 Image coding over noisy channels with memory

David Giguet, Glen P. Abousleman, Lina J. Karam

Proceedings Volume 4391, Wavelet Applications VIII; (2001) https://doi.org/10.1117/12.421198
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

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.

Citation Download Citation

David Giguet, Glen P. Abousleman, and Lina J. Karam "Image coding over noisy channels with memory", Proc. SPIE 4391, Wavelet Applications VIII, (26 March 2001); https://doi.org/10.1117/12.421198

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KEYWORDS

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Image compression

Computer programming

Binary data

Signal to noise ratio

Quantization

Wavelets

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