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Convex variational method for removing speckle noise

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Indexed by:期刊论文

Date of Publication:2009-02-01

Journal:Journal of Computational Information Systems

Included Journals:EI、Scopus

Volume:5

Issue:1

Page Number:299-303

ISSN No.:15539105

Abstract: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.

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