• DocumentCode
    3287453
  • Title

    Implementation of restoration of blurred image using blind deconvolution algorithm

  • Author

    Patil, Premajyothi ; Wagh, R.B.

  • Author_Institution
    CS Dept., NMU Univ. RCPIT Shirpur, Shirpur, India
  • fYear
    2013
  • fDate
    26-28 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Image Restoration is a field of Image Processing in which recovering an original and sharp image from a degraded image. Purpose of this paper is to restore the blurred images using blind deconvolution algorithm with canny edge detector. Initially original image is blurred using Gaussian filter. Then in the edges of the blurred image, the ringing effect can be detected using Canny Edge Detection method and then it can be removed before restoration process. Blind Deconvolution algorithm is applied to the blurred image to get reconstructed image. Blind Deconvolution Algorithm is used effectively when no information of distortion is known. It restores image and PSF at the same time.
  • Keywords
    Gaussian processes; deconvolution; edge detection; image restoration; Gaussian filter; PSF; blind deconvolution algorithm; blurred images; canny edge detector; image restoration; ringing effect; Autoregressive processes; Deconvolution; Degradation; Filtering algorithms; Image edge detection; Image restoration; Noise; Blind deconvolution algorithm; Canny Edge Detection; Image Restoration; PSF;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless and Optical Communications Networks (WOCN), 2013 Tenth International Conference on
  • Conference_Location
    Bhopal
  • ISSN
    2151-7681
  • Print_ISBN
    978-1-4673-5997-9
  • Type

    conf

  • DOI
    10.1109/WOCN.2013.6616234
  • Filename
    6616234