刘秀平

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:女

毕业院校:大连理工大学

学位:博士

所在单位:数学科学学院

电子邮箱:xpliu@dlut.edu.cn

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Convex variational method for removing speckle noise

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论文类型:期刊论文

发表时间:2009-02-01

发表刊物:Journal of Computational Information Systems

收录刊物:EI、Scopus

卷号:5

期号:1

页面范围:299-303

ISSN号:15539105

摘要:Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noises, which is due to the coherent nature of the scattering phenomenon. In this paper, we review the existed denoising methods for removing the speckle noise, and then propose a new stable and global strictly convex variational multiplicative denoising model based on maximum a posteriori (MAP). We prove that the proposed denoising model is strictly convex, and also the existence and uniqueness of the optimal solution of this model. Finally, the numerical results show that this algorithm is stable, convergent and effective for removing multiplicative speckle noise. Copyright ? 2009 Binary Information Press.