一种规整化的各向异性扩散相干斑抑制算法

针对基于各向异性扩散的相干斑抑制算法 (SRAD)中存在的不合理性，即算法在均匀区域内降噪特性一般，并且扩散系数的非凸可能导致解不收敛到正确的图像，从理论上进行了系统的分析和论证，并依据保持图像细节的规整化准则，构造出新的扩散控制系数。在此基础上，进一步提出了一种更合理的规整化各向异性扩散模型 (RSRAD)，该模型可以有效地克服SRAD中存在的不合理性。实验结果表明，RSRAD算法优于SRAD。

A Regularized Anisotropic Diffusion for Speckle Reducing

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.