Image Denoising Using Three Scales of Wavelet Coefficients

被引：0
|
作者：
Chen, Guangyi [1 ]
Zhu, Wei-Ping [1 ]
机构：
[1] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ H3G 1M8, Canada
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2008, PT 2, PROCEEDINGS | 2008年 / 5264卷
关键词：
Image denoising; dual-tree complex wavelets; wavelet transforms; thresholding;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The denoising of a natural image corrupted by the Gaussian white noise is a classical problem in image processing. In this paper, a new image denoising method is proposed by using three scales of dual-tree complex wavelet coefficients. The dual-tree complex wavelet transform is well known for its approximate shift invariance and better directional selectivity, which are very important in image denoising. Experiments show that the proposed method is very competitive when compared with other existing denoising methods in the literature.
引用
收藏
页码：376 / 383
页数：8
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