Fuzzy channel-optimized vector quantization for image coding

Wen Jyi Hwang, Chin Tsai Lin

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

Abstract

A novel vector quantizer (VQ) design algorithm for noisy channels is presented in this paper. The algorithm, termed fuzzy channel-optimized vector quantizer (FCOVQ) design algorithm, performs the codeword training using an optimal fuzzy clustering technique where the channel noise is taken into account. In the existing crisp channel-optimized VQ (CCOVQ) design algorithms, the quantization accuracy is traded for less sensitivity to channel noise. However, because of utilizing the optimal fuzzy clustering process for VQ design, the FCOVQ algorithm can effectively reduce the sensitivity to channel noise while maintaining the quantization accuracy. Therefore, given the same noisy channel, the FCOVQ can have better rate-distortion performance than that of the CCOVQ techniques.

Original languageEnglish
Title of host publicationImage and Multidimensional Signal ProcessingMultimedia Signal Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1895-1898
Number of pages4
ISBN (Electronic)0780362934
DOIs
Publication statusPublished - 2000 Jan 1
Event25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 - Istanbul, Turkey
Duration: 2000 Jun 52000 Jun 9

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
ISSN (Print)1520-6149

Other

Other25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000
CountryTurkey
CityIstanbul
Period00/6/500/6/9

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Hwang, W. J., & Lin, C. T. (2000). Fuzzy channel-optimized vector quantization for image coding. In Image and Multidimensional Signal ProcessingMultimedia Signal Processing (pp. 1895-1898). [859198] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 4). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2000.859198