Total Variation Method for Multiplicative Noise Removal
Speaker:Prof. You-wei Wen
Department of Mathematics
South China Agricultural University
Guangzhou, China
Date & Time:19 May 2010 (Wednesday) 10:30 - 12:00
Venue:J308
Organized by:Department of Mathematics

Abstract

In this talk, we consider a total variation (TV) minimization method for multiplicative noise removal problems. Unlike additive noise removal problems, the noise is multiplied to the original image, so almost all information of the original image may disappear in the observed image. The main aim of this talk is to propose and study a strictly convex objective function for multiplicative noise removal problems. We use a logarithmic function to convert the multiplicative noise into additive noise. We also incorporate the modified total variation regularization in the objective function to recover image edges. We develop an alternating minimization algorithm to find the minimizer of such an objective function efficiently and also show the convergence of the minimizing method. Our experimental results show that the quality of images denoised by the proposed method is quite good.

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