• DocumentCode
    2502913
  • Title

    Multi-frame image super-resolution restoration based on estimation of Discrete Point Spread Function

  • Author

    Xie, Shenghua ; Zhang, Qiheng

  • Author_Institution
    Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of china, Chengdu
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    9250
  • Lastpage
    9254
  • Abstract
    In order to eliminate the influence on imaging system of atmospheric turbulence, a kind of Multi-frame images super-resolution restoration algorithm based on estimation of DPSF (Discrete Point Spread Function) is proposed. Firstly, the method estimated DPSF of single image by consecutive multi-frame sequence images, and then realized super-resolution restoration of degraded image by means of maximum likelihood theory and multi-frame images information. When super-resolution restoration was carried out DPSF was amended properly in order to advance convergence of the algorithm and shorten the course of restoration. The experiment shows the method can effectively realize super-resolution restoration of real short-exposure turbulence-degraded sequence images, and has strong ability in convergence, stability and resisting noise.
  • Keywords
    image resolution; image restoration; image sequences; maximum likelihood estimation; optical transfer function; atmospheric turbulence; consecutive multiframe sequence images; discrete point spread function estimation; imaging system; maximum likelihood theory; multiframe image super-resolution restoration; short-exposure turbulence-degraded sequence images; Automation; Bayesian methods; Convergence; Degradation; Educational institutions; Hydrogen; Image resolution; Image restoration; Intelligent control; Optical imaging; Atmospheric turbulence; DPSF; Image rest; Multi-frame image information; Super-resolution restoration; oration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4594420
  • Filename
    4594420