A Wavelet Image Denoising Based On The New Threshold Function

被引：7
|
作者：
Deng, Guanghui [1 ]
Liu, Zengli [1 ]
机构：
[1] Kunming Univ Sci & Technol, Dept Commun Engn, Kunming, Peoples R China
来源：
2015 11TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS) | 2015年
关键词：
wavelet transform; image denoising; soft threshold; hard threshold;
D O I：
10.1109/CIS.2015.46
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel thresholding function is presented based on the wavelet put forward by Donoho and Johnstone. This new thresholding function proposed to overcome hard wavelet threshold function is not continuous. Wavelet soft threshold function constant deviation and derivative discontinuity defects. It is clear in physics meaning and simple in expression. Experimental results show that the new thresholding function denoising resulting in minimum mean square error (MSE) and peak signal-to-noise ratio (PSNR) is superior to the traditional soft and hard threshold function.
引用
收藏
页码：158 / 161
页数：4
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