School of Electrical and Computer Engineering Communications and Signal Processing Area Video and Image Processing Laboratory (VIPER) and Center for Computational Image Analysis and Data Visualization "Multiresolution-Based Image and Video Compression and Communications" Professor Kannan Ramchandran Beckman Institute for Advance Science and Technology and Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign March 24, 1998 3:00-4:00pm Room 117 EE BuildingInternet video, video-on-demand, and wireless video are but a few examples of the recently exploding demand for efficient and reliable image and video communication systems. In this talk, we summarize our recent work in this area, emphasizing the role of multiresolution representations for both source and channel coding. We begin by highlighting recent advances in wavelet-based image coding, and describe our contribution to the current state-of-the-art involving the use of a variety of radically differing data-structures -- based on zerotrees, morphological region-growing, and statistical wavelet models -- that all share the attribute of efficiently capturing the space-frequency characterization of the wavelet decomposition. The objective performance of our algorithms built around these data-structures is among the very best in the coding literature. We then highlight our work on reliable image transmission over noisy channels based on multiresolution-based joint source-channel coding, emphasizing the goal of maximizing the end-to-end system performance that can lead to significant gains in delivered image quality. Time-permitting, we will discuss the role of one or more novel source-channel coding paradigms based on embedded modulation, arithmetic coding based continuous error detection, hybrid compressed/uncompressed systems, and multiple description source representations.
Professor Ramchandran is currently an Assistant Professor of Electrical and Computer Engineering and a member of the Beckman Institute for Advance Science and Technology at the University of Illinois at Urbana-Champaign. He received his Ph.D. in 1993 from Columbia University.
Professor Ramchandran is being hosted by the Video and Image Processing Laboratory (VIPER) of the School of Electrical and Computer Engineering. Please contact Prof. Edward Delp (ace@ecn.purdue.edu), 494-1740 for more information.