基于小波变换和Wiener滤波的SAR图像相干斑噪声去除  

SAR Imagespeckle Denoising Based on Wavelet Transform and Wiener Filter

作　　者：赵辉煌[1,2] 王耀南[2] 孙雅琪[1] 

机构地区：[1]衡阳师范学院计算机科学系,湖南衡阳421008 [2]湖南大学电气与信息工程学院,湖南长沙410082

出　　处：《微电子学与计算机》2013年第11期84-87,共4页Microelectronics & Computer

基　　金：湖南省自然科学基金项目(12JJ4058)

摘　　要：先介绍了小波变换和Wiener滤波,为提高去噪性能,提出一种基于小波变换和Wiener滤波的SAR图像speckle噪声去除算法,利用Wiener滤波对小波分解系数去噪.结果表明,与传统方法相比,所提出的算法能较好地提高SAR图像的去噪效果.Noise deteriorates SAR image quality ,makes image unclear and sinks some important image features . Denoising has become an essential step in SAR image analysis and improving image quality . At first , wavelet transform and wiener filter are introduced .Then an improved algorithm based on wavelet transform and wiener filter is proposed and is used to denoise .At last ,the experimental results have illustrated that the proposed approach can accomplish a better result in SAR image denoising compared with the conventional methods .

关 键 词：图像噪声 SAR图像 小波变换 WIENER滤波 

分 类 号：TP3-4[自动化与计算机技术—计算机科学与技术]