Codebook organization to enhance maximum a posteriori detection of progressive transmission of vector quantized images over noisy channels

Ren Yuh Wang, Eve A. Riskin, Richard Ladner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

We describe a new way to organize a full search vector quantization codebook so that images encoded with it can be sent progressively and have immunity against channel noise. Due to the codebook organization, the most significant bits (MSBs) of the codeword index are most important to the overall image quality and are highly correlated. Simulations show that the effective channel error rates of the MSBs can be substantially lowered by implementing a Maximum A Posteriori (MAP) detector similar to one suggested by Phamdo and Farvardin. The performance of the scheme is close to that of Pseudo-Gray coding at low bit error rates and outperforms it at higher error rates.

Original languageEnglish
Title of host publicationImage and Multidimensional Signal Processing
PagesV-233-V-236
StatePublished - 1993
EventIEEE International Conference on Acoustics, Speech and Signal Processing, Part 5 (of 5) - Minneapolis, MN, USA
Duration: 27 Apr 199330 Apr 1993

Publication series

NameProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume5
ISSN (Print)0736-7791

Conference

ConferenceIEEE International Conference on Acoustics, Speech and Signal Processing, Part 5 (of 5)
CityMinneapolis, MN, USA
Period27/04/9330/04/93

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