Robust image coding using perceptually-tuned channel-optimized trellis-coded quantization

Tuyet Trang Lam, Lina Karam, Glen P. Abousleman

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

5 Scopus citations

Abstract

This paper presents a perceptually-tuned wavelet-based image coder that is optimized for transmission over the binary symmetric channel (BSC). The proposed coder uses a channel-optimized trellis-coded quantization (COTCQ) stage that is designed to optimize the image coding based on the channel characteristics, without using any channel coding for error protection. A perceptually-tuned rate allocation scheme controls the quantization by tuning the COTCQ quantization stage to the visual masking properties of the wavelet subbands. Examples are presented to illustrate the performance of the proposed image coder.

Original languageEnglish (US)
Title of host publicationMidwest Symposium on Circuits and Systems
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Pages1131-1134
Number of pages4
Volume2
StatePublished - 1999
Event1999 IEEE 42nd Midwest Symposium on Circuits and Sistems - Las Cruces, NM, USA
Duration: Aug 8 1999Aug 11 1999

Other

Other1999 IEEE 42nd Midwest Symposium on Circuits and Sistems
CityLas Cruces, NM, USA
Period8/8/998/11/99

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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  • Cite this

    Lam, T. T., Karam, L., & Abousleman, G. P. (1999). Robust image coding using perceptually-tuned channel-optimized trellis-coded quantization. In Midwest Symposium on Circuits and Systems (Vol. 2, pp. 1131-1134). IEEE.