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June 28, 2014

Mtg: Information Theory and Signal Processing for the World’s Smallest Computational Video Camera

by @ 8:10 am. Filed under ALL, Computers/Software, Electronics Design, Optics/Displays, Semiconductors
 

WEDNESDAY September 24, 2014
SCV Information Theory Chapter, with Signal Processing Chapter
– optical sensors, imagers, photodiode arrays, no lens …
Speaker: Dr. David G. Stork, Research Director, Computational Sensing and Imaging Group, Rambus Labs
Time: Networking and refreshments at 6:30 PM; Presentation at 7:00 PM
Cost: none
Place: AMD Commons Building, 1 AMD Place, Sunnyvale
RSVP: from website
Web: www.ewh.ieee.org/r6/scv/its

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 smallâ??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.

20140924scv

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