Argonne National Laboratory

Single-View Phase Retrieval of an Extended Sample by Exploiting Edge Feature Detection and Sparsity

TitleSingle-View Phase Retrieval of an Extended Sample by Exploiting Edge Feature Detection and Sparsity
Publication TypeJournal Article
Year of Publication2016
AuthorsTripathi, A, McNulty, I, Munson, T, Wild, SM
JournalOptics Express
Volume24
Issue21
Pagination24719-24738
Date Published11/2016
AbstractWe propose a new approach to robustly retrieve the exit wave of an extended sample from its coherent diffraction pattern by exploiting sparsity of the sample’s edges. This approach enables imaging of an extended sample with a single view, without ptychography. We introduce nonlinear optimization methods that promote sparsity, and we derive update rules to robustly recover the sample’s exit wave. We test these methods on simulated samples by varying the sparsity of the edge-detected representation of the exit wave. Our tests illustrate the strengths and limitations of the proposed method in imaging extended samples.  
URLhttps://www.osapublishing.org/oe/abstract.cfm?uri=oe-24-21-24719
PDFhttp://www.mcs.anl.gov/papers/P6028-0716.pdf