A Regularized Anisotropic Diffusion for Speckle Reducing
Received date: 2004-04-28
Revised date: 2004-05-25
Online published: 2005-01-15
乔明 , 王新楼 , 邹谋炎 . 一种规整化的各向异性扩散相干斑抑制算法[J]. 中国科学院大学学报, 2005 , 22(1) : 24 -29 . DOI: 10.7523/j.issn.2095-6134.2005.1.004
Speckle reducing anisotropic diffusion (SRAD) algorithm still has disadvantages. Firstly , the diffusion coefficient is not a convex function , which leads to an unstable solution. At the second point , SRAD is anisotropy even in the homogeneous areas , this will depress the ability of reducing speckle. In this paper we systematically an- alyze the problem mentioned above and propose a new diffusion coefficient based on the edge-preserving regulariza- tion method. We also construct a new anisotropic diffusion module , R-SRAD , which is more reasonable. The ex- perimental results show that our R-SRAD is more effective in comparison with the SRAD.
Key words： anisotropic diffusion; speckle; PDE; denoising
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