Image coding over noisy channels with memory

D. Giguet, G. P. Abousleman, Lina Karam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsH.H. Szu, D.L. Donoho, A.W. Lohmann, W.J. Campbell, J.R. Bussy
Pages181-190
Number of pages10
Volume4391
DOIs
StatePublished - 2001
EventWavelet Applications VIII - Orlando, FL, United States
Duration: Apr 18 2001Apr 20 2001

Other

OtherWavelet Applications VIII
CountryUnited States
CityOrlando, FL
Period4/18/014/20/01

Keywords

  • Channel-optimized coding
  • Noisy channels with memory
  • Trellis-coded quantization
  • Wavelet image compression

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

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  • Cite this

    Giguet, D., Abousleman, G. P., & Karam, L. (2001). Image coding over noisy channels with memory. In H. H. Szu, D. L. Donoho, A. W. Lohmann, W. J. Campbell, & J. R. Bussy (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (Vol. 4391, pp. 181-190) https://doi.org/10.1117/12.421198