Friday, October 8, 2004

12 noon

Redwood Neuroscience Institute

Title "An Integrated Framework for Image Sensing and Processing"

Peyman Milanfar

Electrical Engineering

University of California, Santa Cruz

Abstract:

I will describe our efforts in developing a framework to make possible the optimization of imaging sensors, measuring their performance, and in enhancing their outputs. In the latter case, I will demonstrate our latest results in video-to-still and video-to-video resolution enhancement -- sometimes called super-resolution. I will also discuss statistical bounds on the performance of imaging, and image enhancement systems.

Biography:

Peyman Milanfar received the B.S. degree in Electrical Engineering/Mathematics from the University of California, Berkeley, in 1988, and the S.M., E.E., and Ph.D. degrees in Electrical Engineering from the Massachusetts Institute of Technology, in 1990, 1992, and 1993, respectively. Until 1999, he was a Senior Research Engineer at SRI International, Menlo Park, CA. He is currently Associate Professor of Electrical Engineering at the University of California, Santa Cruz. He was a Consulting Assistant Professor of computer science at Stanford University from 1998-2000, and a visiting Associate Professor there in 2002. His technical interests are in statistical signal and image processing, and inverse problems. He won a National Science Foundation CAREER award in 2000, was associate editor for the IEEE Signal Processing Letters from 1998 to 2001, and is a Senior member of the IEEE.
Webpage:  http://www.soe.ucsc.edu/~milanfar