Phase retrieval for superposed signals from multiple binary objects

Andreas Alpers, Gabor T. Herman, Henning Friis Poulsen, Søren Schmidt

    Research output: Contribution to journalJournal articleResearchpeer-review


    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. © 2010 Optical Society of America
    Original languageEnglish
    JournalOptical Society of America. Journal A: Optics, Image Science, and Vision
    Issue number9
    Pages (from-to)1927-1937
    Publication statusPublished - 2010


    • Materials characterization and modelling
    • Materials and energy storage


    Dive into the research topics of 'Phase retrieval for superposed signals from multiple binary objects'. Together they form a unique fingerprint.

    Cite this