摘要
SAR图像相干斑点噪声的存在严重影响了SAR图像的应用效果。本文给出了一种基于双树复小波变换的贝叶斯收缩去噪算法,采用双树复小波获取更多的方向特性,然后借助贝叶斯MAP估计器调整小波系数,达到去除SAR图像斑点噪声的目的。实验证明,本算法在抑制SAR图像斑点噪声的同时有效地保持了图像的边缘信息。
The existing of speckle noise severely affects the use of SAR image for people.This paper gave an image de-noising idea by Bayesian shrink based on DT-CWT.It obtained more direction characteristic by used DT-CWT,and shrank the coefficients to suppress the speckles by Bayesian MAP.The implementation showed that the method not only restrained the noise but also preserved the edge information of the image.
出处
《测绘科学》
CSCD
北大核心
2010年第5期60-61,256,共3页
Science of Surveying and Mapping
