• DocumentCode
    3634925
  • Title

    Space-variant deblurring using one blurred and one underexposed image

  • Author

    Michal Šorel;Filip Šroubek

  • Author_Institution
    Institute of Information Theory and Automation of the ASCR, Pod Vodarenskou vezi 4, Praha 8, 182 08, Czech Republic
  • fYear
    2009
  • Firstpage
    157
  • Lastpage
    160
  • Abstract
    We propose a practical method to remove photo blur due to camera shake, which is a typical problem when taking photos in dim lighting conditions such as indoor or night scenes. We use a pair of images, one of them blurred and the other one underexposed or noisy because of high ISO setting. Existing methods assume convolution model, that is the same blur in the whole image. It is seldom true in practice, especially for wide angle lens photos. We apply a space-variant model of blurring valid in many real situations. Results are documented by a photograph of a night scene.
  • Keywords
    "Cameras","Deconvolution","Kernel","Layout","Lenses","ISO standards","Convolution","Optical distortion","Information theory","Automation"
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    2381-8549
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5414145
  • Filename
    5414145