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Wednesday, September 24, 2014
Information theory and signal processing for the world's smallest computational video camera
Speaker:
Dr. David G. Stork
Rambus Fellow, Rambus Labs
Location:
1 AMD Place, Sunnyvale, CA 94088 (Commons Bldg - map or Google Maps)
Schedule:
6:30pm: Networking/Light Dinner
7:00pm: Announcements
7:05pm: Presentation
8:15pm: Adjourn
Cost:
Free. Donation accepted for food.
Abstract:
We describe a new class of computational optical sensors and imagers that do not rely on traditional
refractive or reflective focusing but instead on special diffractive optical elements integrated with
CMOS photodiode arrays. Images are not captured, as in traditional imaging systems, but rather computed
from raw photodiode signals. Because such imagers forgo the use of lenses, they can be made unprecedentedly
small-as small as the cross-section of a human hair.
In such a computational imager, signal processing takes much of the burden of optical processing done
by optical elements in traditional cameras, and thus information theoretic and signal processing considerations
become of central importance. In fact, these new imaging systems are best understood as information channels
rather than as traditional image forming devices. As such such systems present numerous challenges in
information theory and signal processing: How does one optimize the effective electro-optical bandwidth
given the constraints of optical components? What is the tradeoff in computational complexity and image quality
or other metrics? What is the proper electro- optical representation and basis function set?
The talk will end with a list of important research opportunities afforded by this new class of computational imager.
Biography:
Dr. David G. Stork is Rambus Fellow and Research Director of the Computational Sensing and Imaging Group at Rambus Labs.
A graduate in physics from MIT and the University of Maryland, Dr. Stork has published eight books/proceedings volumes,
including Pattern classification (2nd ed.) and Seeing the Light: Optics in nature, photography, color, vision and holography
and has held faculty appointments in eight disciplines variously at Wellesley and Swarthmore Colleges and Clark, Boston and
Stanford Universities. He holds 43 issued patents and is Fellow of the International Association for Pattern Recognition (IAPR),
the International Academy, Research, and Industry Association (IARIA), and SPIE.
A joint meeting organized by IEEE Information Theory Society Chapter
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