TITLE: An Integrated Framework for Image Sensing and Processing
SPEAKER: Prof. Peyman Milanfar
Department of Electrical Engineering
University of California, Santa Cruz
DATE: 2:00 - 3:00 P.M., Tuesday December 14, 2004
LOCATION: Sigma, 1L (PA)
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.
Bio:
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
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