Computational Lensless Imaging (2016)

Institute for Applied Computational Science (IACS) Seminar

PRESENTER: David G. Stork, Rambus Lab

TALK ABSTRACT: The central insight underlying the field of computational sensing and imaging is that the joint design of optics and signal processing to yield a final digital image or estimate of some property of the scene can relax the traditional constraints on optical elements need to make an optical image that "looks good." In our lensless imagers, binary diffraction gratings with special mathematical properties yield blurry, blob-like optical images that nevertheless contain sufficient information that a digital image of the scene can be computed.

Note that this flavor of lensleas imaging never went anywhere. Rambus is no longer active in the space, and both David and Patrick Gill left some time ago.

There is very similar grating based imaging coming out of Rice.