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Document Type

Journal Article

Department/Unit

Department of Mathematics

Title

Multiplicative noise removal with spatially varying regularization parameters

Language

English

Abstract

The Aubert-Aujol (AA) model is a variational method for multiplicative noise removal. In this paper, we study some basic properties of the regularization parameter in the AA model. We develop a method for automatically choosing the regularization parameter in the multiplicative noise removal process. In particular, we employ spatially varying regularization parameters in the AA model in order to restore more texture details of the denoised image. Experimental results are presented to demonstrate that the spatially varying regularization parameters method can obtain better denoised images than the other tested multiplicative noise removal methods. © 2010 Society for Industrial and Applied Mathematics.

Keywords

Multiplicative noise, Spatially varying regularization parameters, Textures, Total variation

Publication Date

2010

Source Publication Title

SIAM Journal on Imaging Sciences

Volume

3

Issue

1

Start Page

1

End Page

20

Publisher

Society for Industrial and Applied Mathematics

ISSN (electronic)

19364954

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