Image Recovery: From Classical Approaches to Deep Learning

Speaker:Tieyong ZENG(CUHK)
Time: Fri 16:30-17:30, 2019-11-22
Venue:Lecture hall, 3rd floor of Jin Chun Yuan West Building


Image recovery is an extremely important topic in image processing. We will report some recent works in image recovery, first by the classical variational methods, then by Deep Learning for image super-resolution.


Tieyong Zeng now is the associate professor at Department of Mathematics of the Chinese University of Hong Kong.Before that he worked as assistant professor at Hong Kong Baptist University from 2008 to 2015. His research mainly focuses on image processing, image enhancement, computer vision and so on. He has published many papers on the concerned top magzines like SIAM Journal on Imaging Sciences, SIAM Journal on Scientific Computing, International Journal of Computer Vision, Journal of Scientific Computing,IEEE Transactions on Image Processing,Pattern Recognition,Journal of Mathematical Imaging and Vision.