Robust block-based EZW image compression with channel noise optimized rate-distortion functions

Jen Chang Liu, Wen Liang Hwang, Wen Jyi Hwang, Ming Syan Chen

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

5 Citations (Scopus)

Abstract

The robustness of image compression algorithms has become more critical with the increasing demand for image data transmission systems over noisy channels. To affect robust image compression, the dynamic bit allocation was applied to the block-based Embedded Zerotree Wavelet (EZW) algorithm. The performance of the block-based EZW algorithm can be further improved if noise statistics are used in bit allocation which assigns bits to each block.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
PublisherIEEE
Pages560-564
Number of pages5
Volume2
Publication statusPublished - 1999
Externally publishedYes
EventInternational Conference on Image Processing (ICIP'99) - Kobe, Jpn
Duration: 1999 Oct 241999 Oct 28

Other

OtherInternational Conference on Image Processing (ICIP'99)
CityKobe, Jpn
Period99/10/2499/10/28

ASJC Scopus subject areas

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

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  • Cite this

    Liu, J. C., Hwang, W. L., Hwang, W. J., & Chen, M. S. (1999). Robust block-based EZW image compression with channel noise optimized rate-distortion functions. In IEEE International Conference on Image Processing (Vol. 2, pp. 560-564). IEEE.