• DocumentCode
    607758
  • Title

    Image restoration by adaptive wavelet thresholding method

  • Author

    Erdem, M.C. ; Telatar, Z. ; Dogan, M.

  • Author_Institution
    Elektrik ve Elektron. Muhendisligi Bolumu, Ankara Univ., Ankara, Turkey
  • fYear
    2013
  • fDate
    24-26 April 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Image enhancement and restoration methods are essential for many fields like medical imaging and radar imaging systems. In literature, there are many studies and different approaches to image enhancement and restoration methods. In this paper, some noise models are studied and the performances of Wiener filter, median filter, mean filter and a proposed method based on adaptive wavelet thresholding are compared on images degraded by mentioned noise models.
  • Keywords
    Wiener filters; image enhancement; image restoration; noise; Wiener filter; adaptive wavelet thresholding method; image enhancement; image restoration; mean filter; median filter; medical imaging; noise models; radar imaging systems; Adaptation models; Hidden Markov models; Image restoration; PSNR; Wiener filters; adaptive wavelet thresholding; image enhancement; image restoration; noise models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2013 21st
  • Conference_Location
    Haspolat
  • Print_ISBN
    978-1-4673-5562-9
  • Electronic_ISBN
    978-1-4673-5561-2
  • Type

    conf

  • DOI
    10.1109/SIU.2013.6531419
  • Filename
    6531419
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=607758