Perceptually-tuned image coder with channel-optimized trellis-coded quantization

Tuyet Trang Lam, Glen P. Abousleman, Lina Karam

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

Abstract

A system is presented for the compression of digital imagery over binary symmetric channels (BSC). The objective is to minimize the perceived distortion for a desired target bit rate. The proposed system utilizes wavelet decomposition, channel-optimized trellis-coded quantization (COTCQ), and a perceptually-tuned rate allocation scheme to control the quantization. Because of the inherent noise-robust properties of the COTCQ stage, no channel coding is employed. Additionally, the COTCQ design does not utilize entropy coding. Consequently, the proposed image coder is especially suitable for wireless transmission due to its reduced complexity and robustness to channel errors. Examples are presented to illustrate the performance of the proposed image coding system.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing
Place of PublicationLos Alamitos, CA, United States
PublisherIEEE
Pages421-425
Number of pages5
Volume1
StatePublished - 1999
EventInternational Conference on Image Processing (ICIP'99) - Kobe, Jpn
Duration: Oct 24 1999Oct 28 1999

Other

OtherInternational Conference on Image Processing (ICIP'99)
CityKobe, Jpn
Period10/24/9910/28/99

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Perceptually-tuned image coder with channel-optimized trellis-coded quantization'. Together they form a unique fingerprint.

  • Cite this

    Lam, T. T., Abousleman, G. P., & Karam, L. (1999). Perceptually-tuned image coder with channel-optimized trellis-coded quantization. In IEEE International Conference on Image Processing (Vol. 1, pp. 421-425). IEEE.