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INFORMATION THEORY
CHAPTER

Claude Shannon



Wednesday, September 24th, 2014

NEW LOCATION, NEW TIME
Reservations Required, (click here)


This is a joint meeting of the SCV Information Technology and Signal Processing Chapters.

AMD Commons Building, 1 AMD Place, Sunnyvale, CA 94088
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Refreshments and Conversation at 6:30 P.M.
Presentation at 7:00 P.M.

Information theory and signal processing for the world's smallest computational video camera

Dr. David G. Stork
Rambus Fellow, Rambus Labs

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

Photo of Dr. David G. Stork 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.

 

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