Abstract: Image quality assessment has been a topic of recent intense research due to its usefulness in a wide variety of applications. However, over the last decade, research in image quality has largely shifted from the previous broader objective of gaining a better understanding of human vision, to the current limited objective of better fitting the available ground-truth data. In this talk, I will argue that, despite the explosive growth in image-quality research, we are today only marginally closer to understanding how humans perceive artifacts in images than we were 30 years ago. I specifically discuss several open challenges which stem from lack of complete perceptual models. I also discuss challenges related to computational efficiency. The objective of this talk is to highlight the limitations in our current knowledge of image quality, and to also emphasize the need for additional studies beyond those commonly cited, and the need for alternative theories and techniques beyond those commonly employed.
BIOGRAPHY：Damon M. Chandler received the B.S. degree in Biomedical Engineering from The Johns Hopkins University, Baltimore, MD, USA in 1998; and the M.Eng., M.S., and Ph.D. degrees in Electrical Engineering from Cornell University, Ithaca, NY, USA in 2000, 2004, and 2005, respectively. From 2005-2006, Dr. Chandler was a postdoctoral research associate in the Department of Psychology at Cornell.
From 2006-2015, Dr. Chandler was with the faculty of the School of Electrical and Computer Engineering at Oklahoma State University. In 2008, he received an Eta Kappa Nu Outstanding OSU ECE Professor of the Year Award. In 2009, he was a Visiting Assistant Professor at the IRCCyN lab, University of Nantes, Nantes, France. He received a Halliburton Foundation OSU Excellent Young Teacher Award in 2010. He received a U. S. National Science Foundation CAREER award in 2011.
Dr. Chandler is currently an Associate Professor in the Department of Electrical and Electronic Engineering at Shizuoka University, Japan. He heads the Laboratory of Computational and Subjective Image Quality, where his research focuses on studying and modeling properties of human vision for image and video processing applications. He serves as an Associate Editor for the IEEE Transactions on Image Processing and the Journal of Electronic Imaging. He is a Senior Member of IEEE.