基于多小波多层阈值图像去噪方法的改进

基于多小波多层阈值图像去噪方法的改进

宋东哲, 王淑云, 王彩玲

吉林大学数学学院, 长春 130012

收稿日期:2007-03-05 修回日期:1900-01-01 出版日期:2008-01-26 发布日期:2008-01-26
通讯作者: 宋东哲

Improvement Method to Image De-noising Based on Multiwavelet and Multilevel Threshold

SONG Dongzhe, WANG Shuyun, WANG Cailing

College of Mathematics, Jilin University, Changchun 130012, China

Received:2007-03-05 Revised:1900-01-01 Online:2008-01-26 Published:2008-01-26
Contact: SONG Dongzhe

摘要/Abstract

摘要： 在多层阈值去噪方法的基础上, 采用均值逼近法对含噪图像进行预处理. 通过均值逼近法降低白噪声的方差, 用多层阈值去噪方法去噪, 有利于信噪分离. 结果表明, 该方法对图像去噪可行有效, 进一步提高了信噪比.

关键词: 多小波变换, 多层阈值, 均值逼近法

Abstract: Based on the multilevel threshold de-noising method foundation, mean value approximation (MVA) was used to pretreat the noising image. The pretreatment of the noising image was first carried out so as to reducethe variance of the white noise and then the multilevel threshold value denoising method was used to reduce noising. This method is more advantageous to separate signal and noise. The result indicates that this method is an effective and feasible one to the image denoising so as to enhance the signaltonoise ratio.

Key words: multiwavelet transform, multilevel threshold, mean value approximation

中图分类号:

TP391

宋东哲, 王淑云, 王彩玲. 基于多小波多层阈值图像去噪方法的改进[J]. J4, 2008, 46(01): 81-84.

SONG Dongzhe, WANG Shuyun, WANG Cailing. Improvement Method to Image De-noising Based on Multiwavelet and Multilevel Threshold[J]. J4, 2008, 46(01): 81-84.