Total Variation Based Image Processing（全变差图像处理）
- A+
：杨俊锋
：2021-07-22 17:10
：腾讯会议 会议 ID：505 766 473 会议密码：123456
报告人：杨俊锋（南京大学）
时 间：7月22日下午17:10
地 点：腾讯会议 会议 ID：505 766 473 会议密码：123456
内容摘要:
In this talk, I will review some total variation based image processing models, including deblurring, inpainting, zooming, partial Fourier reconstruction and impulsive noise removal. We emphasize that all these problems preserve favorable structures so that efficient ADMM algorithms can be designed. In particular, the matrix structure of blurring matrix will be discussed under different boundary conditions, which plays key role in efficient implementation of the algorithms.
个人简介：
Junfeng Yang, Professor, Department of Mathematics, Nanjing University. He received his MSc in 2006 under the supervision of Prof. Yaxiang Yuan (AMSS, CAS) and PhD in 2009 under the supervision of Prof. Bingsheng He (Nanjing University) and Prof. Yin Zhang (Rice University). He is mainly interested in designing, analyzing and implementing fast algorithms for solving optimization problems arising from signal and image processing, compressive sensing and sparse optimization, etc. Together with collaborators, he has developed Matlab packages FTVd for image deblurring and YALL1 for L1 optimization in compressive sensing.
联系人：黄文
