Report title: Total Variation Based Image Processing
Reporter: Professor Yang Junfeng, Nanjing University
Reporting time: 9:00-9:40 AM on December 7, 2020
Report location: Tencent Conference ID: 191 170 890
Conference password: 9999
School contact: Li Xinxin xinxinli@jlu.edu.cn
Report Abstract:
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.
Speaker's profile:
Yang Junfeng, professor of the Department of Mathematics of Nanjing University, has studied under Yuan Yaxiang, Academician of the Chinese Academy of Sciences, Professor Bingsheng He of Nanjing University, and Professor Zhang Yin of Rice University. Since July 2009, he has been working in the Department of Mathematics of Nanjing University, mainly engaged in optimization calculation methods and its application research, published more than 10 papers in SIAM series, Mathematics of Computation, Computational Optimization and Applications and other magazines, and developed image deblurring software packages FTVd, compressed sensing one-mode decoding software package YALL1, nuclear magnetic resonance image restoration software package RecPF, etc., have been downloaded tens of thousands of times. In 2012, he was selected into the New Century Excellent Talents Support Program of the Ministry of Education. In 2016, he won the Youth Science and Technology Award of the Chinese Society of Operations Research and the Jiangsu Provincial Industrial and Applied Mathematics Youth Award. In 2019, he won the National Outstanding Youth Fund.
