An ARQ-based diversity system for transmission of EZW compressed images over noisy channels

Jen Chang Liu, Wen Liang Hwang, Wen Jyi Hwang

Research output: Contribution to conferencePaper

Abstract

Transmission of compressed images is challenging because the communication channels can be noisy and the compressed bitstreams are sensitive to channel errors. Most of the proposed methods in the literature do not guarantee the quality of the received image over noisy channels. In this paper, we propose an ARQ-based diversity system as a solution, in which the use of diversity system avoids the problems when one or some channels get congested, and the ARQ scheme guarantees the quality of the received image. A specific ARQ-based diversity system is designed for transmission of images compressed using EZW. Performance results are shown in the experiments.

Original languageEnglish
PagesI/221-I/224
Publication statusPublished - 2002 Jan 1
EventInternational Conference on Image Processing (ICIP'02) - Rochester, NY, United States
Duration: 2002 Sep 222002 Sep 25

Other

OtherInternational Conference on Image Processing (ICIP'02)
CountryUnited States
CityRochester, NY
Period02/9/2202/9/25

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ASJC Scopus subject areas

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

Cite this

Liu, J. C., Hwang, W. L., & Hwang, W. J. (2002). An ARQ-based diversity system for transmission of EZW compressed images over noisy channels. I/221-I/224. Paper presented at International Conference on Image Processing (ICIP'02), Rochester, NY, United States.