• DocumentCode
    1929463
  • Title

    Compressed sensing phase retrieval

  • Author

    Fannjiang, Albert ; Liao, Wenjing

  • Author_Institution
    Dept. of Math., UC Davis, Davis, CA, USA
  • fYear
    2011
  • fDate
    6-9 Nov. 2011
  • Firstpage
    735
  • Lastpage
    738
  • Abstract
    Theory of absolute uniqueness for phase retrieval with random illumination is presented. Suitable random illumination eliminates all sources of ambiguity, trivial and nontrivial. As a result, random-illumination-aided phase retrieval algorithms can accurately recover objects with a below-Nyquist sampling rate close to the minimum and reduce the number of iterations by order of magnitude.
  • Keywords
    compressed sensing; image sampling; absolute uniqueness theory; below-Nyquist sampling rate; compressed sensing phase retrieval; random illumination-aided phase retrieval algorithm; Compressed sensing; Correlation; Image reconstruction; Imaging; Lighting; Optimized production technology; Random variables;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4673-0321-7
  • Type

    conf

  • DOI
    10.1109/ACSSC.2011.6190102
  • Filename
    6190102
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1929463