• DocumentCode
    2403691
  • Title

    An efficient color image denoising method for Gaussian and impulsive noises with blur removal

  • Author

    Muthukumar, S. ; Pasupathi, P. ; Deepa, S. ; Krishnan, N.

  • Author_Institution
    CITE, Manonmaniam Sundaranar Univ., Tirunelveli, India
  • fYear
    2010
  • fDate
    28-29 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper is about the restoration of color image which is blurred and degraded by Gaussian and impulsive noise. The proposed method uses adaptive median filters with structural information are used to find the impulsive noise pixels. The total variation minimization algorithm is used to remove the Gaussian noise and blurring and restores the image. This proposed method will restore the image very effectively with preserving the structural information and fine details. ere all three degradation problems are dealt with, and by using Conditional Signal Adaptive Median Filter we received more competitive result in comparison with existing methods.
  • Keywords
    Gaussian noise; adaptive filters; image colour analysis; image denoising; image restoration; impulse noise; median filters; optimisation; Gaussian noise; adaptive median filter; blur removal; color image denoising method; image restoration; impulsive noise; impulsive noise pixel; total variation minimization algorithm; Color; Gaussian noise; Image restoration; Minimization; Pixel; TV; Adaptive Median Filter; Blur removal; Convolution; Denoising; Filtering; Image enhancement; Restoration; Total Variance; color image processing; impulse noise removal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4244-5965-0
  • Electronic_ISBN
    978-1-4244-5967-4
  • Type

    conf

  • DOI
    10.1109/ICCIC.2010.5705908
  • Filename
    5705908