• DocumentCode
    673339
  • Title

    Iterative average filtering for image denoising

  • Author

    Konieczka, Adam ; Balcerek, Julian ; Dabrowski, Adrian

  • Author_Institution
    Div. of Signal Process. & Electron. Syst., Poznan Univ. of Technol., Poznan, Poland
  • fYear
    2013
  • fDate
    26-28 Sept. 2013
  • Firstpage
    302
  • Lastpage
    305
  • Abstract
    A new nonlinear iterative average filtering technique for removing random impulse noise from images is presented. It can be used for both grayscale and color images. Filtering results of the standard test images and comparisons with results of other denoising methods are presented. The authors´ approach offers especially good results for strongly corrupted images (corruption pixel ratio above 40%).
  • Keywords
    filtering theory; image colour analysis; image denoising; image resolution; impulse noise; iterative methods; color images; corruption pixel ratio; grayscale images; image denoising; image processing; image quality enhancement; nonlinear iterative average filtering technique; random impulse noise removal; Filtering; Image resolution; Noise; Standards; Switches; PSNR; image denoising; image processing; image quality enhancement; impulse noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2013
  • Conference_Location
    Poznan
  • ISSN
    2326-0262
  • Electronic_ISBN
    2326-0262
  • Type

    conf

  • Filename
    6710644
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=673339