文章基本信息

标题：Speckle Suppression Method in SAR image Based on Curvelet Domain BivaShrink Model
本地全文：下载
作者：Wang, Wenbo ; Zhang, Xiaodong ; Wang, Xiangli 等
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2013
卷号：8
期号：4
页码：947-954
DOI：10.4304/jsw.8.4.947-954
语种：English
出版社：Academy Publisher
摘要：Based on the statistical property of SAR image speckle noise and the property that the multiscale geometric analysis can capture the intrinsic geometrical structure of image, combining curvelet transform with BivaShrink denoising model, a method of SAR image denoising based on curvelet domain is presented in this paper. According to calculation of variance homogeneous measurement and curvelet coefficients of current layer and its parent layer, the local adaptive window is determined to optimally estimate shrinkage factor. The method can effectively reduce SAR speckle noise and preserving details of SAR image well through the correlation of curvelet coefficients in the same direction of subband and parent-layer subband. The experimental results show the presented method greatly improves the subjective visual effect and the numerical indicators of the denoised image.
关键词：Curvelet transform;Variance homogeneous measurement;speckle suppression;SAR image