• DocumentCode
    3574317
  • Title

    Performance of the decision based algorithm for the removal of unequal probability salt and pepper noise in images

  • Author

    Kumar, R. Ram ; Vasanth, K. ; Rajesh, V.

  • Author_Institution
    Dept. of E.C.E, M.V. Inst. of Technol., Pondicherry, India
  • fYear
    2014
  • Firstpage
    1360
  • Lastpage
    1365
  • Abstract
    A Decision based unsymmetrical trimmed variants is proposed for the elimination of unequal probability salt and pepper noise in gray scale images. The proposed algorithm replaces the corrupted pixels with unsymmetrical trimmed median or midpoint based on the noisy pixels in the current processing window. The proposed algorithm shows excellent noise elimination capability with good detail preserving nature. The proposed algorithm exhibits high PSNR, SSEVI.
  • Keywords
    image denoising; probability; PSNR; SSEVI; decision based unsymmetrical trimmed variants; gray scale images; unequal probability salt and pepper noise; unsymmetrical trimmed median; Filtering algorithms; Mathematical model; Maximum likelihood detection; Noise; Noise measurement; Nonlinear filters; Signal processing algorithms; Unequal probability Salt and pepper noise; Unsymmetrical trimmed variants; detail preserving; noise removal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuit, Power and Computing Technologies (ICCPCT), 2014 International Conference on
  • Print_ISBN
    978-1-4799-2395-3
  • Type

    conf

  • DOI
    10.1109/ICCPCT.2014.7054869
  • Filename
    7054869