A multi-channel channel-optimized scheme for EZW using rate-distortion functions

J. C. Liu, W. L. Hwang, W. J. Hwang, M. S. Chen

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

Abstract

We develop a multi-channel channel-optimized scheme for EZW image compression in a noisy transmission environment. A block-based modification for EZW is applied to improve the robustness of EZW, and to produce several coded bitstreams for transmission over multiple channels with different noise conditions. Then the respective channel noise is considered in the rate-distortion analysis, and the resultant rate-distortion functions are used for optimal bit allocation among the coded bitstreams. The case of burst noise is analyzed as an example.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
Pages395-398
Number of pages4
Volume1
Publication statusPublished - 2000
Externally publishedYes
EventInternational Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada
Duration: 2000 Sep 102000 Sep 13

Other

OtherInternational Conference on Image Processing (ICIP 2000)
CountryCanada
CityVancouver, BC
Period00/9/1000/9/13

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'A multi-channel channel-optimized scheme for EZW using rate-distortion functions'. Together they form a unique fingerprint.

Cite this