• DocumentCode
    2988012
  • Title

    Stabilizing and deblurring atmospheric turbulence

  • Author

    Zhu, Xiang ; Milanfar, Peyman

  • Author_Institution
    Electr. Eng. Dept., Univ. of California, Santa Cruz, CA, USA
  • fYear
    2011
  • fDate
    8-10 April 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    A new approach is proposed to correct geometric distortion and reduce space and time-variant blur in videos that suffer from atmospheric turbulence. We first register the frames to suppress geometric deformation using a B-spline based non-rigid registration method. Next, a fusion process is carried out to produce an image from the registered frames, which can be viewed as being convolved with a space invariant near-diffraction-limited blur. Finally, a blind deconvolution algorithm is implemented to deblur the fused image. Experiments using real data illustrate that this approach is capable of alleviating blur and geometric deformation caused by turbulence, recovering details of the scene and significantly improving visual quality.
  • Keywords
    atmospheric techniques; atmospheric turbulence; deconvolution; deformation; geophysical image processing; image fusion; image registration; image restoration; splines (mathematics); B spline based nonrigid registration method; atmospheric turbulence deblurring; blind deconvolution algorithm; geometric distortion; image fusion process; registered frame; space invariant near diffraction limited blur; time variant blur; visual quality; Additive noise; Covariance matrix; Deconvolution; Image reconstruction; Image restoration; Pixel; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Photography (ICCP), 2011 IEEE International Conference on
  • Conference_Location
    Pittsburgh, PA
  • Print_ISBN
    978-1-61284-707-8
  • Type

    conf

  • DOI
    10.1109/ICCPHOT.2011.5753122
  • Filename
    5753122