Argonne National Laboratory

Visualizing and Improving the Robustness of Phase Retrieval Algorithms

TitleVisualizing and Improving the Robustness of Phase Retrieval Algorithms
Publication TypeJournal Article
Year of Publication2015
AuthorsTripathi, A, Leyffer, S, Munson, T, Wild, SM
JournalProcedia Computer Science
Volume51
Pagination815–824
Other NumbersANL/MCS-P5272-0115
Abstract

Coherent x-ray diffractive imaging is a novel imaging technique that utilizes phase retrieval and nonlinear optimization methods to image matter at nanometer scales. We explore how the convergence properties of a popular phase retrieval algorithm, Fienup’s HIO, behave by introducing a reduced dimensionality problem allowing us to visualize and quantify convergence to local minima and the globally optimal solution. We then introduce generalizations of HIO that improve upon the original algorithm’s ability to converge to the globally optimal solution.
 

DOI10.1016/j.procs.2015.05.205
PDFhttp://www.mcs.anl.gov/papers/P5272-0115.pdf