• DocumentCode
    177723
  • Title

    Atmospheric Turbulence Mitigation Using Optical Flow

  • Author

    Caliskan, T. ; Arica, N.

  • Author_Institution
    Comput. Eng. Dept., Turkish Naval Acad., Istanbul, Turkey
  • fYear
    2014
  • fDate
    24-28 Aug. 2014
  • Firstpage
    883
  • Lastpage
    888
  • Abstract
    Atmospheric turbulence causes blurring and geometrical distortion in images acquired from a long distance. In this paper, we propose a fast and effective feature based registration technique in removing the distortions caused by atmospheric turbulence. We utilize optical flow method and combine the advantages of previous approaches based on space invariant deconvolution and lucky frame idea. After an optical flow based registration of degraded image sequence, a patch-wise multi-frame reconstruction technique is applied to fuse the registered images. Finally, a blind-deconvolution technique is implemented to deblur the fused image to obtain a single high quality image. The experiments performed on common datasets show that the proposed method produces higher quality images more efficiently than the available methods.
  • Keywords
    atmospheric turbulence; deconvolution; image fusion; image registration; image sequences; atmospheric turbulence mitigation; blind-deconvolution technique; blurring; degraded image sequence; feature based registration technique; fused image; geometrical distortion; optical flow based registration; patch-wise multiframe reconstruction technique; space-invariant deconvolution; Adaptive optics; Computer vision; Deconvolution; Image motion analysis; Image restoration; Optical distortion; Optical imaging; atmospheric turbulence; blind deconvolution; image registration; image restoration; optical flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2014 22nd International Conference on
  • Conference_Location
    Stockholm
  • ISSN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2014.162
  • Filename
    6976872