TITLE:

RECENT DEVELOPMENTS IN TOTAL VARIATION IMAGE RESTORATION (No. 82)

DATE:

Friday, November 4th, 2005

TIME:

3:30 PM

LOCATION:

GMCS 214

SPEAKER:

Tony Chan, Department of Computational and Applied Mathematics, UCLA

ABSTRACT:

Since their introduction in a classic paper by Rudin, Osher and
Fatemi, total variation minimizing models have become one of the most popular and successful methodology for image restoration. More recently, there has been a resurgence of interest and exciting new developments, some extending the applicabilities to inpainting, blind deconvolution and vector valued images, while others offer improvements in better preservation of contrast, geometry and textures, in ameliorating the stair casing effect, and in exploiting the multiscale nature of the models. In addition, new computational methods have been proposed with improved computational
speed and robustness. We shall review some of these recent developments.

(Based on a joint review paper with S. Esedoglu, F. Park, and A. Yip)

HOST:

Jose Castillo

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