• DocumentCode
    2831828
  • Title

    Automatic foreground-background refocusing

  • Author

    Loktyushin, Alexander ; Harmeling, Stefan

  • Author_Institution
    Max Planck Inst. for Biol. Cybern., Tubingen, Germany
  • fYear
    2011
  • fDate
    11-14 Sept. 2011
  • Firstpage
    3445
  • Lastpage
    3448
  • Abstract
    A challenging problem in image restoration is to recover an image with a blurry foreground. Such images can easily occur with modern cameras, when the auto-focus aims mistakenly at the background (which will appear sharp) instead of the foreground, where usually the object of interest is. In this paper we propose an automatic procedure that (i) estimates the amount of out-of-focus blur, (ii) segments the image into foreground and background incorporating clues from the blurriness, (iii) recovers the sharp foreground, and finally (iv) blurs the background to refocus the scene. On several real photographs with blurry foreground and sharp background, we demonstrate the effectiveness and limitations of our method.
  • Keywords
    image restoration; image segmentation; natural scenes; self-focusing; automatic foreground-background refocusing; blurry foreground image; blurry foreground photographs; image recovery; image restoration; image segmentation; out-of-focus blur estimation; scene refocusing; sharp background photographs; sharp foreground recovery; Cepstrum; Channel estimation; Deconvolution; Histograms; Image segmentation; Kernel; Image decomposition; Image enhancement; Image processing; Image restoration; Image segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2011 18th IEEE International Conference on
  • Conference_Location
    Brussels
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4577-1304-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2011.6116453
  • Filename
    6116453