University of California, Riverside

MSOL



EE 241: Advanced Digital Image Processing


Covers advanced topics in digital image processing. Examines image sampling and quantization, image transforms, stochastic image models, image filtering and restoration, and image data compression.

Biography

Dr. Roy-Chowdhury leads the Video Computing Group at UCR. His group is involved in research projects related to camera networks, human behavior modeling, face recognition, and bioimage anaysis. Application domains include national and homeland security, commercial multimedia, home infrastructure, computational biology, and digital arts. The underlying approach of his research is to harness various methods in systems theory, signal processing, machine learning, mathematics and statistics to the analysis of images and videos in order to obtain an understanding of their content. This scientific understanding can lead to machine vision technologies that can provide an automated/semi-automated analysis of the 3D environment from images/videos, analogous to the capabilities of biological visual systems. Prof. Roy-Chowdhury's research has been supported by various agencies including the National Science Foundation, Office of Naval Research, Army Research Office, DARPA, National Endowment for the Humanities, and private industries like CISCO and Lockheed-Martin. His recent book on Camera Networks provides an overview of current research in the field.

More Information 

General Campus Information

University of California, Riverside
900 University Ave.
Riverside, CA 92521
Tel: (951) 827-1012

College Information

Bourns College of Engineering
446 Winston Chung Hall

Tel: (951) 827-5190
Fax: (951) 827-3188
E-mail: collegeinfo@engr.ucr.edu

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