Dr. Lin ZHANG is an Associate Professor of Tongji University. He is the Director of the Media Arts and Science Department, School of Software Engineering, Tongji University. He received his bachelor's and master's degrees from Shanghai Jiaotong University and his Ph.D. from the Hong Kong Polytechnic University. His papers were cited by more than 5000+ times, and 3 of them were ESI Highly-cited ones. He is a member of the Shanghai Pujiang Talent Program. He is a senior member of the IEEE, a senior member of the CCF, and a member of the CCF Computer Vision Committee.
Tracks he partipates
Image quality is the main basis for measuring video services, especially video coding optimization and post-decoding processing. The human’s eyes are the final judges of image quality, the key point of industry cases is how to design objective image quality assessment that is able to reflect subjective feeling correctly. In addition, video quality assessment technology needs to keep paces with the times for meeting new service requirements and challenges constantly. The topic will focus on the latest developments of video quality assessment technology, which includes the researches of new scenes such as image distortion measures of visual perception, no-reference image quality assessment, support image quality assessment with cross resolution and multiscreen app, UHD, HDR, VR and so on.
How to improve the quality of images acquired under backlight or dark conditions is of great significance in various image application systems. We propose an unsupervised learning based solution to effectively solve this problem. This method can adapt itself to different settings per image and thus has a strong generalization ability. The target audience for this topic is the ones who are interested in image restoration issues.