Robust EZW image coding for noisy channels

Hong Man, Faouzi Kossentini, Mark J.T. Smith

Research output: Contribution to journalArticlepeer-review

48 Scopus citations

Abstract

We present a new embedded zerotree wavelet image coding algorithm that is based on the algorithms developed by Shapiro and Said et al. Our algorithm features a relatively simple coding structure and provides a better framework for balancing between high compression performance and robustness to channel errors. The fundamental approach is to explicitly classify the encoder's output bit sequence into subsequences, which are then protected differently according to their importance and robustness. Experimental results indicate that, for noisy channels, the proposed algorithm is slightly more resilient to channel errors than more complex and sophisticated source-channel coding algorithms. More important is that our algorithm is substantially more robust with respect to varying channel error conditions. This provides much needed reliability in low-bandwidth wireless applications.

Original languageEnglish
Pages (from-to)227-229
Number of pages3
JournalIEEE Signal Processing Letters
Volume4
Issue number8
DOIs
StatePublished - 1997

Keywords

  • Channel error robustness and resilience
  • Coding
  • Embedded zerotrees
  • Joint source-channel
  • Wavelet coding

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