Tuesday,
October 14, 12:00 p.m. ECG 317
Youzuo Lin
Dept. Math. & Stats
Application of Regularization Techniques in Image Restoration
Abstract
Regularization is a successful approach to a wide variety of image
restoration problems, of which Tikhonov and Total Variation (TV)
regularization are two of the main regularization techniques. In this talk, I
will cover a few topics that I have been working on relating to these methods,
including a parallelization algorithm for Tikhonov regularization, and optimal
parameter selection for TV regularization. Other than these two approaches,
over the past few years, another type of regularization based on learning from
examples has received more and more attention. I will also talk about my
exploration on this method and its application to Image Super-Resolution.
For further information please contact:
mittelmann@asu.edu