A novel coding method based on fuzzy vector quantization for noised image

被引：0
|
作者：
Li, Y. [1 ]
Lou, Z. [1 ]
Jiang, T. [1 ]
Si, X. [1 ]
机构：
[1] Dept. of Electronic Eng., Harbin Engineering University, Harbin 150001, China
来源：
Journal of Systems Engineering and Electronics | 2001年 / 12卷 / 02期
关键词：
Fuzzy sets - Gaussian noise (electronic) - Image coding - Image compression - Integral equations - Vector quantization - Wavelet transforms - White noise;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper a novel coding method based on fuzzy vector quantization for noised image with Gaussian white-noise pollution is presented. By restraining the high frequency subbands of wavelet image the noise is significantly removed and coded with fuzzy vector quantization. The experimental result shows that the method can not only achieve high compression ratio but also remove noise dramatically.
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页码：87 / 91
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