• DocumentCode
    2212309
  • Title

    The Application of Estimation Method Based on Improved Wavelet Coefficients for Image Denoising

  • Author

    Jinku, Han ; Dahui, Li

  • Author_Institution
    Coll. of Comput. & Control Eng., Qiqihar Univ., Qiqihar, China
  • fYear
    2010
  • fDate
    7-8 Aug. 2010
  • Firstpage
    175
  • Lastpage
    178
  • Abstract
    Wavelet threshold is a commonly method in image denoising. The paper, based on the analysis and estimation of the standard deviation of image noise, comes up with the wavelet shrinkage image threshold method. The procedure is: first, to make sure the standard deviation of the image noise can be estimated by the two Lap lace templates, second, to design different smaller image denoising algorithm through the definition of signal wavelet transform, finally, to estimate the standard deviation through the denoising images from the simulation results to improve the peak value signal-to-noise ratio and visual effect, and eventually eliminate noise effectively.
  • Keywords
    Laplace transforms; image denoising; image segmentation; wavelet transforms; Laplace templates; estimation method; image denoising; improved wavelet coefficients; signal wavelet transform; signal-to-noise ratio; standard deviation; visual effect; wavelet shrinkage image threshold method; Image denoising; Wavelet transform; noise standard deviation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Communications (Mediacom), 2010 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-0-7695-4136-5
  • Type

    conf

  • DOI
    10.1109/MEDIACOM.2010.75
  • Filename
    5694174