• DocumentCode
    2670842
  • Title

    On PSF for lined motion blurred image

  • Author

    Chaoyang, Zhang ; Guangjun, Liao ; Qifeng, Qi

  • Author_Institution
    Coll. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    357
  • Lastpage
    360
  • Abstract
    Point-spread function (PSF) plays a key role in image restoration. As a result, prior knowledge and poseteriori estimation of PSF is usually used to restore image. By analyzing and establishing the degraded mathematical model of lined blurred image and studying the calculating method of PSF, this paper gives a new way to identify the motion blur direction from the blurred image by direction derivation method and an approach to calculate the motion blur length. Experiments show that by the methods given above we get satisfactory results. And we also experiment and compare the inverse filtering results with the Wiener filtering results with/without noise respectively.
  • Keywords
    Wiener filters; image motion analysis; image restoration; optical transfer function; Wiener filtering; image restoration; inverse filtering; lined motion blurred image; mathematical model; motion blur direction; point-spread function; Automation; Chaos; Degradation; Educational institutions; Filtering; Forensics; Image restoration; Motion analysis; Motion control; Wiener filter; Inverse Filtering; Motion Blur Directiong; Motion Blur Length; PSF; Wiener Filtering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2008. CCC 2008. 27th Chinese
  • Conference_Location
    Kunming
  • Print_ISBN
    978-7-900719-70-6
  • Electronic_ISBN
    978-7-900719-70-6
  • Type

    conf

  • DOI
    10.1109/CHICC.2008.4605781
  • Filename
    4605781