Fuzzy channel-optimized vector quantization for image coding

Wen Jyi Hwang; Chin Tsai Lin

doi:10.1109/ICASSP.2000.859198

Fuzzy channel-optimized vector quantization for image coding

Wen Jyi Hwang, Chin Tsai Lin

Department of Computer science & Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Image and Multidimensional Signal ProcessingMultimedia Signal Processing
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1895-1898
Number of pages	4
ISBN (Electronic)	0780362934
DOIs	https://doi.org/10.1109/ICASSP.2000.859198
Publication status	Published - 2000 Jan 1
Event	25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 - Istanbul, Turkey Duration: 2000 Jun 5 → 2000 Jun 9

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	4
ISSN (Print)	1520-6149

Other

Other	25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000
Country	Turkey
City	Istanbul
Period	00/6/5 → 00/6/9

Fingerprint

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

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

Fuzzy channel-optimized vector quantization for image coding. / Hwang, Wen Jyi; Lin, Chin Tsai.

Image and Multidimensional Signal ProcessingMultimedia Signal Processing. Institute of Electrical and Electronics Engineers Inc., 2000. p. 1895-1898 859198 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hwang, WJ & Lin, CT 2000, Fuzzy channel-optimized vector quantization for image coding. in Image and Multidimensional Signal ProcessingMultimedia Signal Processing., 859198, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 4, Institute of Electrical and Electronics Engineers Inc., pp. 1895-1898, 25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000, Istanbul, Turkey, 00/6/5. https://doi.org/10.1109/ICASSP.2000.859198

Hwang WJ, Lin CT. Fuzzy channel-optimized vector quantization for image coding. In Image and Multidimensional Signal ProcessingMultimedia Signal Processing. Institute of Electrical and Electronics Engineers Inc. 2000. p. 1895-1898. 859198. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2000.859198

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Access to Document

10.1109/ICASSP.2000.859198