• DocumentCode
    3528458
  • Title

    Review on Image Denoising Based on Contourlet Domain Using Adaptive Window Algorithm

  • Author

    Bhongade, S. ; Kourav, Deepak ; Rai, Rajeev Kumar ; Sontakke, T.R.

  • Author_Institution
    Dept. of Electr. Eng., SGSITS, Indore, India
  • fYear
    2013
  • fDate
    21-23 Dec. 2013
  • Firstpage
    412
  • Lastpage
    415
  • Abstract
    This paper based on the characteristic of contour let transform for image denoising, paper presents adaptive window algorithm which uses directional information from the contour let transform and structure information of image for image denoising. In this method each sub band of the contour let is first fixed by autocorrelation function of contour let and then adaptive filtering is used to denoise the noisy image. Experiments will show that the proposed algorithm achieves better SNR value than current Contour let based image denoising algorithms.
  • Keywords
    adaptive filters; image denoising; transforms; SNR; adaptive filtering; adaptive window algorithm; autocorrelation function; contourlet domain; contourlet transform; directional information; image denoising algorithm; structure information; Filtering; Hidden Markov models; Image denoising; Noise; Signal processing algorithms; Wavelet transforms; Adaptive Filtering; Directional information; SNR; Subband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Intelligence and Research Advancement (ICMIRA), 2013 International Conference on
  • Conference_Location
    Katra
  • Type

    conf

  • DOI
    10.1109/ICMIRA.2013.87
  • Filename
    6918864