Computational algorithms for phase retrieval
Mon., April 14, 2014
3:00 - 4:00 PM
521 Cory Hall
Abstract:
Phase retrieval is an important problem in imaging, where cameras can only capture amplitude information and so phase is lost. Phase can carry important information about an object’s shape and density, and so many applications desire to recover phase information from various specialized intensity measurements. The problem is nonlinear and generally non-convex, though convex optimization is often used successfully. Computational imaging involves the joint design of optical systems and post-processing algorithms to enable new imaging capabilities (e.g. phase, 3D, super-resolution). This talk will describe computational phase imaging methods based on intensity transport that can recover phase with simple optical setups and efficient algorithms. We will compare the many different recently proposed algorithms for phase retrieval in terms of their accuracy, convergence properties, speed and experimental simplicity.
Bio:
Laura Waller is an Assistant Professor in the Electrical Engineering and Computer Sciences (EECS) department at UC Berkeley, running the Computational Imaging Lab. She was a Postdoctoral Research Associate in Electrical Engineering and Lecturer of Physics at Princeton University from 2010-2012 and received B.S., M.Eng., and Ph.D. degrees in EECS from the Massachusetts Institute of Technology (MIT) in 2004, 2005, and 2010, respectively.
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