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

Fingerprint

Image coding
coding
counters
Data storage equipment
coders
channel noise
Statistics
statistics

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

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

Image coding over noisy channels with memory. / Giguet, D.; Abousleman, G. P.; Karam, Lina.

Proceedings of SPIE - The International Society for Optical Engineering. ed. / H.H. Szu; D.L. Donoho; A.W. Lohmann; W.J. Campbell; J.R. Bussy. Vol. 4391 2001. p. 181-190.

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

Giguet, D, Abousleman, GP & Karam, L 2001, Image coding over noisy channels with memory. in HH Szu, DL Donoho, AW Lohmann, WJ Campbell & JR Bussy (eds), Proceedings of SPIE - The International Society for Optical Engineering. vol. 4391, pp. 181-190, Wavelet Applications VIII, Orlando, FL, United States, 4/18/01. https://doi.org/10.1117/12.421198
Giguet D, Abousleman GP, Karam L. Image coding over noisy channels with memory. In Szu HH, Donoho DL, Lohmann AW, Campbell WJ, Bussy JR, editors, Proceedings of SPIE - The International Society for Optical Engineering. Vol. 4391. 2001. p. 181-190 https://doi.org/10.1117/12.421198
Giguet, D. ; Abousleman, G. P. ; Karam, Lina. / Image coding over noisy channels with memory. Proceedings of SPIE - The International Society for Optical Engineering. editor / H.H. Szu ; D.L. Donoho ; A.W. Lohmann ; W.J. Campbell ; J.R. Bussy. Vol. 4391 2001. pp. 181-190
@inproceedings{3cac49631c46401ca0a3442af4bf869c,
title = "Image coding over noisy channels with memory",
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.",
keywords = "Channel-optimized coding, Noisy channels with memory, Trellis-coded quantization, Wavelet image compression",
author = "D. Giguet and Abousleman, {G. P.} and Lina Karam",
year = "2001",
doi = "10.1117/12.421198",
language = "English (US)",
volume = "4391",
pages = "181--190",
editor = "H.H. Szu and D.L. Donoho and A.W. Lohmann and W.J. Campbell and J.R. Bussy",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

}

TY - GEN

T1 - Image coding over noisy channels with memory

AU - Giguet, D.

AU - Abousleman, G. P.

AU - Karam, Lina

PY - 2001

Y1 - 2001

N2 - 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.

AB - 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.

KW - Channel-optimized coding

KW - Noisy channels with memory

KW - Trellis-coded quantization

KW - Wavelet image compression

UR - http://www.scopus.com/inward/record.url?scp=0034929712&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0034929712&partnerID=8YFLogxK

U2 - 10.1117/12.421198

DO - 10.1117/12.421198

M3 - Conference contribution

VL - 4391

SP - 181

EP - 190

BT - Proceedings of SPIE - The International Society for Optical Engineering

A2 - Szu, H.H.

A2 - Donoho, D.L.

A2 - Lohmann, A.W.

A2 - Campbell, W.J.

A2 - Bussy, J.R.

ER -