数字技术与应用Issue(7)：65-67,3.
一种基于图像结构保持降低SAR图像斑点噪声的非局部均值滤波
摘要
Abstract
This paper proposed a structure-preserving speckle reduction(SPSR) nonlocal means filter algorithm for synthetic aperture radar(SAR) images, which is based on the nonlocal self-similarity of the image. The SPSR algorithm is unique in the similar structure of pixel identification, therefore in the process of speckle filter avoid blurred images. To al eviate the effects of the speckle noise on similarity measurement, two stage filtering scheme is introduced into it. The first stage aims at an accurate approximation of true structural similarity, and then based on the values to implement of strength different of diffusion filter for these similar regional. Compared with the traditional filter, the algorithm greatly improve the performance of speckle filter, at the same time, the image of the structure remains intact.关键词
结构保持/散斑去除/SAR图像/非局部均值滤波/各向异性扩散Key words
structure-preserving/speckle reduction/SAR image/nonlocal-means filter/Anisotropic diffusion分类
信息技术与安全科学引用本文复制引用
孙丹..一种基于图像结构保持降低SAR图像斑点噪声的非局部均值滤波[J].数字技术与应用,2014,(7):65-67,3.基金项目
ASC13-14阿坝师范高等专科学校青年基金项目。 （）
