题目：Solving Constrained Total-Variation Image Restoration and Reconstruction Problems via Alternating Direction Methods 报告人：Prof. Michael Ng
Department of Mathematics, Hong Kong Baptist University 时间：8月27日，14:30-15:30
地点：蒙民伟楼404 摘要：In this paper, we study alternating direction methods for solving
constrained total-variation image restoration and reconstruction problems.
Alternating direction methods can be implementable variants of the classical
augmented Lagrangian method for optimization problems with separable
structures and linear constraints. The proposed framework allows us to solve
problems of image restoration, impulse noise removal, inpainting and image
cartoon+texture decomposition. As the constrained model is employed, we
cartoon+only need to input the noise level and the estimation of the
regularization parameter is not required in these imaging problems.
Experimental results for such imaging problems are presented to illustrate
the effectiveness of the proposed method. We show that the alternating
direction method is very efficient for solving image restoration and
reconstruction problems. 简介：Michael Ng is a Professor in the Department of Mathematics at the Hong
Kong Baptist University. He obtained his B.Sc. degree in 1990 and M.Phil.
degree in 1992 at the University of Hong Kong, and Ph.D. degree in 1995 at
Chinese University of Hong Kong. Michael is the Programme Director of the
MSc Programme on Operational Research and Business Statistics and Director
of the Centre for Mathematical Imaging and Vision (CMIV), Executive Director
of the Institute for Computational Mathematics (ICM) at Hong Kong Baptist
University. He is also the Engineering Panel Member of the Hong Kong
Research Grants Council starting from 2009. Michael has published and edited
5 books, published more than 200 journal papers. He currently serves on the
editorial boards of several international journals.
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