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A Regularized Anisotropic Diffusion for Speckle Reducing

  • Qiao Ming ,
  • Wang Xinlou ,
  • Zou Mouyan
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  • Institute of Electronics, Chinese Academy of Sciences, Beijing 100080, China

Received date: 2004-04-28

  Revised date: 2004-05-25

  Online published: 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.

Cite this article

Qiao Ming , Wang Xinlou , Zou Mouyan . A Regularized Anisotropic Diffusion for Speckle Reducing[J]. Journal of University of Chinese Academy of Sciences, 2005 , 22(1) : 24 -29 . DOI: 10.7523/j.issn.2095-6134.2005.1.004

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附中文参考文献

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