Image Denoising Based On Wavelet Transform

被引：0
|
作者：
Zou, Binyi [1 ]
Liu, Hui [1 ]
Shang, Zhenhong [1 ]
Li, Ruixin [1 ]
机构：
[1] Kunming Univ Sci & Technol, Fac Informat Engn & Automat, Kunming 650500, Peoples R China
来源：
PROCEEDINGS OF 2015 6TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE | 2015年
关键词：
Wavelet transform; denoising; modulus maxima; threshold; Translation invariant;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Image processing denoising is a very important step, the hot issue is also the current research. Wavelet transform multi-resolution is frequency analysis features, in order to further improve the image denoising quality, improve visual effect, the paper image denoising methods based on wavelet transform, and which points out the further researching directions.
引用
收藏
页码：342 / 344
页数：3
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