Two improved methods on wavelet image denoising

被引：3
|
作者：
Lin, ZX [1 ]
Song, GX [1 ]
Xue, W [1 ]
机构：
[1] Xidian Univ, Xian 710071, Peoples R China
来源：
2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS | 2003年
关键词：
image denoising; threshold; spline; wavelet domain; modulus maximum;
D O I：
10.1109/ICMLC.2003.1260085
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Wavelet image denoising has been well acknowledged as an important method of denoising in Image Processing. In this paper, the principle of several wavelet denoising methods are described including the Mallat forced denoising, the wavelet transform modulus maximum method, the nonlinear wavelet threshold denoising method and the denoising based on the interrelation of wavelet domain. Also we compare with these methods and give two kinds of improved methods. The results show that it is practicable and effective for image denoising.
引用
收藏
页码：2979 / 2983
页数：5
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