• DocumentCode
    1899625
  • Title

    Research on Local Motion-Blurred Image Restoration Algorithm Based on Physical Methods

  • Author

    Hua Jin ; Chen Yan ; Huang Shunyu

  • Author_Institution
    Coll. of Mech. & Electron. Eng., Nanjing Forestry Univ., Nanjing, China
  • fYear
    2010
  • fDate
    25-26 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A new restoration algorithm aimed at local motion-blur in a complex background is proposed in this paper. First, the local blur part of the image is extracted from the complex background and it is pasted on a bottom of monochromatic background. Then image restoration is done on the blur part in the monochromatic background which is easy to be restored. Finally, the restored local image is pasted back to the original complex background. The algorithm simplifies the restoration problem of local blur image with complex background. And all operations can be completed by physical methods. The algorithm is simple, fast and effectual. It is an effective method of image restoration.
  • Keywords
    feature extraction; image restoration; complex background; image local blur part extraction; local motion blurred image restoration algorithm; monochromatic background; Cameras; Image edge detection; Image restoration; Interference; Mathematical model; Noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2156-7379
  • Print_ISBN
    978-1-4244-7939-9
  • Electronic_ISBN
    2156-7379
  • Type

    conf

  • DOI
    10.1109/ICIECS.2010.5678277
  • Filename
    5678277