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›› 2005, Vol. 22 ›› Issue (1): 24-29.DOI: 10.7523/j.issn.2095-6134.2005.1.004

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A Regularized Anisotropic Diffusion for Speckle Reducing

Qiao Ming, Wang Xinlou, Zou Mouyan   

  1. Institute of Electronics, Chinese Academy of Sciences, Beijing 100080, China
  • Received:2004-04-28 Revised:2004-05-25 Online:2005-01-15

Abstract:

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

CLC Number: