Image Denoising for Adaptive Threshold Function Based on the Dyadic Wavelet Transform

被引：3
|
作者：
Huang, Zhenghong [1 ]
Xia, Li [1 ]
机构：
[1] Chongqing Technol & Business Univ, Coll Comp Sci, Chongqing, Peoples R China
来源：
ICECT: 2009 INTERNATIONAL CONFERENCE ON ELECTRONIC COMPUTER TECHNOLOGY, PROCEEDINGS | 2009年
关键词：
adaptive threshold function; dyadic wavelet transform; image denoising; signal-noise ratio;
D O I：
10.1109/ICECT.2009.64
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Based on the characteristic of dyadic wavelet transform to image denoising, this paper presents that denoising precision can be improved by the way that adopting different thresholds according to the different scales of the wavelet coefficients of image and noise to establish adaptive layered threshold function which adapts to it and reconstruct the wavelet. The experiment shows that by the method above the effect of image denoising is obviously superior to that of fixed threshold function.
引用
收藏
页码：147 / 150
页数：4
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