• DocumentCode
    682780
  • Title

    Motion blurred image restoration

  • Author

    Shuai Jia ; Jie Wen

  • Author_Institution
    Coll. of Sci., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • Volume
    01
  • fYear
    2013
  • fDate
    16-18 Dec. 2013
  • Firstpage
    384
  • Lastpage
    389
  • Abstract
    The restoration of motion blurred images is a hot shot in the field of image processing. In this paper, The degradation model of motion blurred images is clarified, and the estimation of the PSF parameter as well as its algorithm is presented. Frequency spectrum and Radon transition are used for the length and angle calculation, then Wiener filtering and Inverse filtering are used for recovering the noisy and motion blurred images. The matrix conjugate gradient is used to process the images which are processed by Wiener filtering and Inverse filtering. These simulation results indicate that matrix conjugate gradient is effective and promising for their recovery.
  • Keywords
    Radon transforms; Wiener filters; image motion analysis; image restoration; PSF parameter; Radon transition; Wiener filtering; angle calculation; frequency spectrum; image processing; inverse filtering; matrix conjugate gradient; motion blurred image restoration; Correlation; Degradation; Filtering; Image restoration; Noise; Transforms; Wiener filters; Inverse filtering; Motion blurred images; Radon transform; Wiener filtering; conjugate gradient method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2013 6th International Congress on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-2763-0
  • Type

    conf

  • DOI
    10.1109/CISP.2013.6744024
  • Filename
    6744024