• DocumentCode
    2516323
  • Title

    Removing Partial Occlusion from Blurred Thin Occluders

  • Author

    McCloskey, Scott ; Langer, Michael ; Siddiqi, Kaleem

  • fYear
    2010
  • fDate
    23-26 Aug. 2010
  • Firstpage
    4400
  • Lastpage
    4403
  • Abstract
    We present a method to remove partial occlusion that arises from out-of-focus thin foreground occluders such as wires, branches, or a fence. Such partial occlusion causes the irradiance at a pixel to be a weighted sum of the radiances of a blurred foreground occluder and that of the background. The result is that the background component has lower contrast than it would if seen without the occluder. In order to remove the contribution of the foreground in such regions, we characterize the position and size of the occluder in a narrow aperture image. In subsequent images with wider apertures, we use this characterization to remove the contribution of the foreground, thereby restoring contrast in the background. We demonstrate our method on real camera images without assuming that the background is static.
  • Keywords
    hidden feature removal; image restoration; aperture image; blurred foreground occluder; blurred thin occluder; image restoration; occluder position; occluder size; out-of-focus thin foreground occluder; partial occlusion removal; pixel irradiance; real camera image; Apertures; Cameras; Image restoration; Lenses; Mathematical model; Metals; Pixel; blur; image processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2010 20th International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-7542-1
  • Type

    conf

  • DOI
    10.1109/ICPR.2010.1069
  • Filename
    5597880