• DocumentCode
    2833025
  • Title

    Restoration of Blind Image based on FPNMF

  • Author

    Wu, Junyi ; Xu, Gang

  • Author_Institution
    Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing
  • fYear
    2008
  • fDate
    Aug. 29 2008-Sept. 2 2008
  • Firstpage
    134
  • Lastpage
    138
  • Abstract
    By using NMF to separate the blind images, a new method of blind image restoration, Fixed Point NMF (FPNMF), was proposed. This technique avoids the prior knowledge of Point Spread Function (PSF) used in the processing of the classical linear or non-linear deconvolution. It features identifications of the real images is implemented by the observed images directly and also as in the blind source separation (BSS). By processing the natural gray images in the simulation, the results show the efficiency and robustness of this approach we made. It has to be noted that this method developed in the paper takes on some functions of the identification in facial positions and expressions.
  • Keywords
    blind source separation; image restoration; matrix decomposition; blind image restoration; blind source separation; fixed point nonnegative matrix factorization; natural gray image; Deconvolution; Degradation; Equations; Image restoration; Independent component analysis; Matrix decomposition; Principal component analysis; Robustness; Source separation; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-0-7695-3308-7
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2008.39
  • Filename
    4624847