• DocumentCode
    2269488
  • Title

    Joint blind deconvolution and image correlography via a Bayesian image reconstruction algorithm

  • Author

    Cain, Stephen C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Wright-Patterson AFB, OH
  • fYear
    0
  • fDate
    0-0 0
  • Abstract
    Laser imaging through atmospheric turbulence is a challenging problem due primarily to turbulence close to the aperture. Amplitude measurements of the return beam in the plane of the aperture are immune to turbulence, but contain limited information about the Fourier phase of the target image. This paper suggests a method for using blind deconvolution of laser speckle degraded imagery together with correlography techniques in order to simplify the phase retrieval problem and produce coherent image reconstructions with spatial resolution not limited by the atmospheric conditions. The viability of the technique is demonstrated via computer simulation
  • Keywords
    blind source separation; deconvolution; image reconstruction; image resolution; speckle; Bayesian image reconstruction algorithm; blind deconvolution; image correlography techniques; laser speckle degraded imagery; phase retrieval problem; spatial resolution; Apertures; Atmospheric measurements; Bayesian methods; Deconvolution; Degradation; Image reconstruction; Image retrieval; Laser beams; Phase measurement; Speckle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2006 IEEE
  • Conference_Location
    Big Sky, MT
  • Print_ISBN
    0-7803-9545-X
  • Type

    conf

  • DOI
    10.1109/AERO.2006.1655908
  • Filename
    1655908