• DocumentCode
    2530104
  • Title

    Image De-blurring Using Shearlets

  • Author

    Firouzmanesh, Amirhossein ; Boulanger, Pierre

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB, Canada
  • fYear
    2012
  • fDate
    28-30 May 2012
  • Firstpage
    167
  • Lastpage
    173
  • Abstract
    In this paper a deblurring algorithm is proposed that takes advantage of the properties of the shear let transform. Shear lets have mathematically been proven to be more efficient than traditional wavelets for representing distributed discontinuities such as edges. The proposed method extends the state of art Forward algorithm by incorporating shear lets. Experimental results show a significant improvement over some important deblurring algorithms found in the literature.
  • Keywords
    image restoration; transforms; distributed discontinuities; forward algorithm; image deblurring; shearlet transform; Deconvolution; Equations; Image reconstruction; PSNR; Transforms; Wiener filters; De-convolution; Image De-blurring; Shearlet Transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Robot Vision (CRV), 2012 Ninth Conference on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4673-1271-4
  • Type

    conf

  • DOI
    10.1109/CRV.2012.30
  • Filename
    6233138
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2530104