IMAGE DENOISING BASED ON THE DYADIC WAVELET TRANSFORM

被引：0
|
作者：
Fei, Pei-yan [1 ]
Guo, Bao-long [1 ]
机构：
[1] Xidian Univ, Sch Mechan Elect Engn, Xian 710071, Peoples R China
来源：
ICSP: 2008 9TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-5, PROCEEDINGS | 2008年
关键词：
Image denoising; Dyadic wavelet-based image denoising; Threshold estimation;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Since subsampling does not take place in image dyadic wavelet transform at each level, image representation in dyadic wavelet domain compared with wavelet series reconstruction is very redundant and part of disturbance of image dyadic wavelet coefficients in transform domain will not lead to serious distortion. Therefore, with the same error decision probability, the better reconstruction can be expected Based on this idea, this paper extends the existing wavelet-based Image denoising approaches to the dyadic wavelet-based image denoising (DWID). Numerical experiments show that DWID can significantly improve the Power Signal-to-Noise Ratio.
引用
收藏
页码：1112 / 1116
页数：5
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