题目：On Nonconvex Regularized Models for Image Restoration Problems

报告人：吴春林  (南开大学数学系)

摘要：

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 two 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.

时间：11月5日（周一）下午2:00-3:00

地点：首师大新教二楼813教室

主办单位：565net必赢客户端565net必赢客户端

检测成像北京市高校工程研究中心

北京成像技术高精尖创新中心

欢迎全体师生积极参加！