Phase retrieval for superposed signals from multiple binary objects

J Opt Soc Am A Opt Image Sci Vis. 2010 Sep 1;27(9):1927-37. doi: 10.1364/JOSAA.27.001927.

Abstract

We introduce the binary superposed phase retrieval problem that aims at reconstructing multiple 0/1-valued functions with nonoverlapping bounded supports from moduli of superpositions of several displaced copies of their individual Fourier transforms. We discuss an application in coherent diffraction imaging of crystalline objects, propose two algorithms, and evaluate their performance by means of simulations.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Fourier Analysis
  • Image Processing, Computer-Assisted / methods*
  • Monte Carlo Method