• DocumentCode
    3134685
  • Title

    Blind Image Restoration using the Cepstrum Method

  • Author

    Kang, Xiumei ; Peng, Qingjin ; Thomas, Gabriel ; Yu, Chunsheng

  • Author_Institution
    Dept. of Mech. & Manuf. Eng., Manitoba Univ., Winnipeg, Man.
  • fYear
    2006
  • fDate
    38838
  • Firstpage
    1952
  • Lastpage
    1955
  • Abstract
    Much research has been conducted on blind image restoration using the cepstrum method for degradations caused by out-of-focus and motion blurring due to the camera´s focus settings and/or camera´s motion that lead to a uniformly blurred image. The restoration of an image with a still background and a moving object is seldom addressed in the literature. This paper presents a method that extracts the blurred object from the background first, and then estimates the parameters of the PSF using the cepstrum method. Final restoration is achieved by using a classical Wiener filter. Experimental results show that the proposed method is able to achieve satisfactory restored images
  • Keywords
    Wiener filters; cepstral analysis; image motion analysis; image restoration; Wiener filter; blind image restoration; camera motion; cameras focus settings; cepstrum method; motion blurring; object extraction; point spread function; Additive noise; Cables; Cepstrum; Computer aided manufacturing; Image restoration; Optical distortion; Parameter estimation; Power transmission lines; Wiener filter; Wind; cepstrum method; image restoration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2006. CCECE '06. Canadian Conference on
  • Conference_Location
    Ottawa, Ont.
  • Print_ISBN
    1-4244-0038-4
  • Electronic_ISBN
    1-4244-0038-4
  • Type

    conf

  • DOI
    10.1109/CCECE.2006.277481
  • Filename
    4054575