What Makes an Image Look Good? — Recent Progress on Objective Image and Video Quality Assessment
2013-06-10
Zhou Wang - Biosketch: Zhou Wang received the Ph.D. degree from The University of Texas at Austin. He is currently an Associate Professor in the Department of Electrical and Computer Engineering, University of Waterloo. His research interests include image processing, coding, communication, and quality assessment; computational vision and pattern analysis; multimedia coding and communications; and biomedical signal processing. He has more than 100 publications in these fields with more than 15,000 citations.
Abstract: Images and videos are subject to a wide variety of distortions during acquisition, processing, compression, transmission and reproduction. Humans are sensitive to image distortions and can effortlessly identify image distortions. By contrast, objective evaluation of perceived image quality turns out to be a difficult task. In the past decade, there has been a sudden acceleration in progress and interest in image and video quality assessment approaches, whose roles are not only to monitor image quality degradations and to benchmark image processing systems, but also to optimize a large number of image and video processing algorithms and systems. In this talk, we will first give a brief overview of the field of objective image and video quality assessment. We will then introduce our recent progress on the design of image and video quality measures.
Istituto per le Applicazioni del Calcolo
Mercoledi' 12 giugno 2013 h. 12,00
