• DocumentCode
    2782663
  • Title

    A new image restoration algorithm based on window roaming and RBF neural network

  • Author

    Zhang, Liwei ; Zhang, Yaping

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2011
  • fDate
    7-10 Aug. 2011
  • Firstpage
    2009
  • Lastpage
    2013
  • Abstract
    A new image restoration algorithm is put forward based on window roaming and RBF neural network. Image restoration model is got by the operating of the window roaming and training of RBF neural network and the establishment of corresponding relation between motion blurred image and clear image, which is concentrated on the motion blurred image. Finally, the prepared image is recovered according to the model. The motion blurred image can be recovered well with the new algorithm, and the recovery effect is more advantaged than the classical algorithms such as Wiener filtering and with small computation.
  • Keywords
    Wiener filters; image motion analysis; image restoration; learning (artificial intelligence); radial basis function networks; RBF neural network training; Wiener filtering; clear image; image restoration algorithm; motion blurred image; window roaming; Clustering algorithms; Fitting; Image restoration; Radial basis function networks; Signal to noise ratio; Training; Visual effects; Image restoration; RBF neural network; Window roaming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2011 International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2152-7431
  • Print_ISBN
    978-1-4244-8113-2
  • Type

    conf

  • DOI
    10.1109/ICMA.2011.5986235
  • Filename
    5986235