Novel coding method based on triangular fuzzy vector quantization for noisy image

Yi-Bing Li; Tao Jiang; Zhe Lou

doi:10.1117/12.442890

26 September 2001 Novel coding method based on triangular fuzzy vector quantization for noisy image

Yi-Bing Li, Tao Jiang, Zhe Lou

Proceedings Volume 4551, Image Compression and Encryption Technologies; (2001) https://doi.org/10.1117/12.442890
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

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.

Citation Download Citation

Yi-Bing Li, Tao Jiang, and Zhe Lou "Novel coding method based on triangular fuzzy vector quantization for noisy image", Proc. SPIE 4551, Image Compression and Encryption Technologies, (26 September 2001); https://doi.org/10.1117/12.442890

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