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On Nonconvex Regularized Models for Image and Surface Restoration Problems

12f1333080bed2d5959d58364360380bf4fa49ce

Speaker

Chunlin Wu, Nankai University

Time

2020.12.23 14:00-15:00

Venue

Online—ZOOM APP

ZOOM Info

ZOOM Link
Conference ID: 96196191044
Password: 387534

Abstract

Variational methods with regularization techniques have become an important kind of methods image restoration. The convex total variation (TV) regularization, although achieved great successes,suffers from a contrast reduction effect. Recently nonconvex regularization techniques become popular. In this talk, I will mainly present three parts. The first one is a motivation of using nonconvex regularizations and a general truncated regularization framework. The second is a lower bound theory for nonconvex regularized models, which shows the good edge recovery property.  The third one is an extension of total variation for surface denoising.