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Proceedings Paper

Novel coding method based on triangular fuzzy vector quantization for noisy image
Author(s): Yi-Bing Li; Tao Jiang; Zhe Lou
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Paper Abstract

In this paper a novel coding method which based on fuzzy vector quantization for polluted image by Gaussian white-noise is presented. By restraining the high frequency component of wavelet image, the noise is significantly removed. Then it could be coded by fuzzy vector quantization technique. The simulation result shows that this method can not only achieve high compression ratio but also remove noise dramatically.

Paper Details

Date Published: 26 September 2001
PDF: 4 pages
Proc. SPIE 4551, Image Compression and Encryption Technologies, (26 September 2001); doi: 10.1117/12.442890
Show Author Affiliations
Yi-Bing Li, Harbin Engineering Univ. (China)
Tao Jiang, Harbin Engineering Univ. (China)
Zhe Lou, Harbin Engineering Univ. (China)

Published in SPIE Proceedings Vol. 4551:
Image Compression and Encryption Technologies
Jun Tian; Tieniu Tan; Liangpei Zhang, Editor(s)

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