Implementation of Compressive Sensing for Optical Imaging: Challenges, Some Solutions and Examples
Aug 30, 2013
from 11:00 AM to 12:30 PM
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Ben-Gurion University, Israel
The theory of compressive sensing has opened up new opportunities in the field of optical imaging. However, its implementation is often not straight-forward and involves design approaches that differ significantly from the conventional ones. Here we try to overview systematically the main challenges involved in the practical application of CS theory for imaging and present some solution to overcome them. The overview is accompanied with examples of CS techniques that we have developed for progressive imaging acquisition, motion tracking, spectrometry, hyperspectral imaging and for digital holography.
Adrian Stern received his B.Sc., M.Sc. (cum laude) and Ph.D. degrees from Ben-Gurion University of the Negev, Israel, in 1988, 1997 and 2003 respectively, all in Electrical and Computer Engineering. He is an Associate Professor at Electro-Optical Engineering department at Ben-Gurion University in Israel. During the years 2002-2004 he was a postdoc fellow at University of Connecticut. During 2007-2008 he served as senior research and algorithm specialist for GE Molecular Imaging, Israel.
His current research interests include compressed imaging, computational imaging, 3D imaging, phase-space optics, bio-medical imaging, image restoration and reconstruction.
Dr. Stern has published over 115 technical articles in leading peer reviewed journals and conference proceeding, more than quarter of them being invited papers.
Dr. Stern is a member of IEEE, OSA, SPIE. He serves an associate editor for Optics Express journal.
Department Hosting: Electrical Engineering