There is a plethora of image and video processing applications in which information is lost during the acquisition, processing, or transmission stages.  These applications include astronomical imaging (e.g., using ground-based imaging systems or extraterrestrial observations of the earth and the planets), commercial and entertainment photography, medical imaging, and molecular and cellular bioimaging. The information loss can be due to atmospheric turbulence, motion between the camera and the scene, the finite resolution of the acquisition instruments, or the lossy transmission medium.  A recovery problem is then required to be solved, according to which an estimate of the original scene is obtained based on the observed data and prior knowledge about the original image and the degradation process.  Examples of such problems are the restoration or deconvolution problem, the super-resolution problem, the problem of removing compression and transmission artifacts (concealment problem) and the inpainting problem.  In this talk we provide a review of the techniques presented in the literature for solving a number of recovery problems.  We then describe in detail some of the recent advances and outstanding challenges in image restoration, blind image restoration, and super-resolution, utilizing a Bayesian framework.  Experimental results are presented to illustrate and compare the effectiveness of various approaches

Prof. Aggelos K. Katsaggelos received the Diploma degree in electrical and mechanical engineering from the Aristotelian University of Thessaloniki, Greece, in 1979 and the M.S. and Ph.D. degrees both in electrical engineering from the Georgia Institute of Technology, in 1981 and 1985, respectively. In 1985, he joined the Department of Electrical and Computer Engineering at Northwestern University, where he is currently professor. He was the holder of the Ameritech Chair of Information Technology (1997-2003). He is also the Director of the Motorola Center for Seamless Communications and a member of the Academic Affiliate Staff, Department of Medicine, at Evanston Hospital.

Prof. Katsaggelos has extensive IEEE involvement. He is a member of the Publication Board of the IEEE Proceedings, the IEEE Technical Committees on Visual Signal Processing and Communications, the Editorial Board of Academic Press, Marcel Dekker: Signal Processing Series, Applied Signal Processing, Computer Journal, EURASIP Journal on Image and Video Processing, and Advances in Multimedia. He has served as editor-in-chief of the IEEE Signal Processing Magazine (1997-2002), a member of the Publications Board of the IEEE Signal Processing Society, the IEEE TAB Magazine Committee, an associate editor for the IEEE Transactions on Signal Processing (1990-1992), an area editor for the journal Graphical Models and Image Processing (1992-1995), a member of the steering committees of the IEEE Transactions on Image Processing (1992-1997) and the IEEE Transactions on Medical Imaging (1990-1999), a member of the IEEE Technical Committees on Image and Multi-Dimensional Signal Processing (1992-1998) and Multimedia Signal Processing, and a member of the Board of Governors of the IEEE Signal Processing Society (1999-2001).

Prof. Katsaggelos has published extensively and he is the editor of Digital Image Restoration (Springer-Verlag 1991), co-author of Rate-Distortion Based Video Compression (Kluwer 1997), co-editor of Recovery Techniques for Image and Video Compression and Transmission, (Kluwer 1998), and co-author of Super-resolution for Images and Video (Claypool, 2007) and Joint Source-Channel Video Transmission (Claypool, 2007). He is the co-inventor of fourteen international patents, a Fellow of the IEEE (1998), and the recipient of the IEEE Third Millennium Medal (2000), the IEEE Signal Processing Society Meritorious Service Award (2001), an IEEE Signal Processing Society Best Paper Award (2001), and an IEEE International Conference on Multimedia and Expo Paper Award (2006).  He is a Distinguished Lecturer of the IEEE Signal Processing Society for 2007-08.