Lecture Series in Pattern Recognition
题 目（TITLE）： Sparse Image Representation for Image Processing, Computer Vision and Pattern Recognition
讲 座 人（SPEAKER）: Prof. C.-C. Jay Kuo, University of Southern California, USA
时 间 (TIME)： 10:30AM; Sep. 13 (Tuesday)
地 点 (VENUE)： The Second Meeting Room, 13th Floor
Intuitively speaking, visual information has strong spatial and temporal correlations which make its sparse representation possible. There are different image models that have been developed to exploit the special properties of visual data such as the total variation model, the hidden Markov model, the wavelet model, etc. Recently, a new image model based on the sparse and redundant representation becomes popular. The new sparse image model can be related to some existing model such as the local principle component analysis (PCA). This model has been applied to image processing applications. Examples include image denoising, image deblurring, image inpainting and super-resolution. While they are many known algorithms for image denoising and image deblurring, effective algorithms for image inpainting and super-resolution (especially in textured regions) are rare. Thus, it provides an attractive option in these applications. The sparse image model has also been applied to computer vision and pattern recognition problems.
Dr. C.-C. Jay Kuo received the Ph.D. degree from the Massachusetts Institute of Technology in 1987. He is now with the University of Southern California (USC) as Director of Signal and Image Processing Institute and Professor of EE, CS and Mathematics. His research interests are in the areas of digital media processing, multimedia compression, communication and networking technologies, and embedded multimedia system design. Dr. Kuo is a Fellow of AAAS, IEEE and SPIE. Dr. Kuo has guided about 108 students to their Ph.D. degrees and supervised 23 postdoctoral research fellows. Currently, his research group at USC consists of around 30 Ph.D. students (see website http://viola.usc.edu), which is one of the largest academic research groups in multimedia technologies. He is a co-author of about 190 journal papers, 810 conference papers and 10 books.