Class of EZW image coders for noisy channels

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

Research output: Contribution to conferencePaperpeer-review

10 Scopus citations

Abstract

We present a generalized embedded zerotree wavelet image coding algorithm that achieves relatively good tradeoffs between compression performance and channel error resilience and robustness. The proposed algorithm features a relatively simple coding structure, yet it also provides a high level of flexibility. 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. Our combined source/channel coding algorithm can outperform most existing channel resilient coding algorithms for specific target bit error rates. However, its main advantage is that it provides an efficient solution to the common channel mismatching problem by producing a bit stream that is very robust with respect to varying channel error conditions.

Original languageEnglish
Pages90-93
Number of pages4
StatePublished - 1997
EventProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) - Santa Barbara, CA, USA
Duration: 26 Oct 199729 Oct 1997

Conference

ConferenceProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3)
CitySanta Barbara, CA, USA
Period26/10/9729/10/97

Fingerprint

Dive into the research topics of 'Class of EZW image coders for noisy channels'. Together they form a unique fingerprint.

Cite this