IMAGE DENOISING BY INDEPENDENT COMPONENT ANALYSIS BASED ON DYADIC WAVELET TRANSFORM

被引：0

作者：

Huang, Zheng-Hong ^{[1
]}

机构：

[1] Chongqing Technol & Business Univ, Coll Comp Sci & Informat Engn, Chongqing 400067, Peoples R China

来源：

PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION | 2009年

关键词：

Image denoising; Dyadic wavelet transform; Wavelet threshold denoising; Independent component analysis (ICA);

D O I：

10.1109/ICWAPR.2009.5207412

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Based on the dyadic wavelet transform, the threshold and threshold function are obtained adaptive with the decomposition of the dyadic wavelet coefficient by to improve of the lower bound error the noise threshold, and layered processing for threshold function. The noise mixed image was separated denoising by independent component analysis. Experiments show that the proposed method improves the signal-to-noise rate. Moreover, It's better the image precision.

引用

页码：351 / 354

页数：4

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