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一种改进的小波域去噪算法
引用本文:付炜,许山川.一种改进的小波域去噪算法[J].计算机工程与应用,2006,42(11):80-81,84.
作者姓名:付炜  许山川
作者单位:燕山大学信息科学与工程学院,河北,秦皇岛,066004
摘    要:在D.L.Donoho和I.M.Johnston提出的多分辨分析小波阈值去噪方法的基础上,提出了一种新的双变量阈值函数。采用新的阈值函数的去噪效果无论在视觉效果上,还是在信噪比增益上和最小均方意义上均优于传统的硬阈值和软阈值,克服了采用硬阈值法去噪效果不佳和软阈值法过度光滑使信号失真的缺点。并且进行了仿真实验,其结果表明了该方法的有效性和优越性。

关 键 词:小波变换  阈值函数  均方误差  信噪比
文章编号:1002-8331-(2006)11-0080-02
收稿时间:2005-07-01
修稿时间:2005-07-01

An Improved Algorithm for De-noising in Wavelet Transform Domain
Fu Wei,Xu Shanchuan.An Improved Algorithm for De-noising in Wavelet Transform Domain[J].Computer Engineering and Applications,2006,42(11):80-81,84.
Authors:Fu Wei  Xu Shanchuan
Affiliation:College of Information Science and Engineering,Yanshan University,Qinhuangdao,Hebei 066004
Abstract:Based on Muhiresolution analysis wavelet threshold de-noising method which is put forward by D.L.Donoho and I.M.Johnston,a new bivariate threshold function is posed.The de-noising method adopting the new threshold function gives better MSE performance and SNR gains than hard and soft thresholding methods.However,the hard thresholding is best in preserving edges but worst in de-noising,and soft thresholding is best in reducing noise but worst in preserving edges,this method incorporates the hard and soft thresholding to achieve a compromise between the two methods. Numerical simulations show that this de-noising method is effective and excellent.
Keywords:wavelet transform  threshold function  MSE  SNR
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