• DocumentCode
    3274496
  • Title

    Image De-Noising Algorithm Using Adaptive Bayes Threshold by Subband Based on Nonsubsampled Contourlet Transform

  • Author

    Ou Yang ; Hong Bo

  • Author_Institution
    Hunan Univ. of Technol., Zhuzhou, China
  • fYear
    2013
  • fDate
    16-18 Jan. 2013
  • Firstpage
    832
  • Lastpage
    835
  • Abstract
    Utilizing the nonsubsampled contour let transform\´s(NSCT)advantages of translation invariance", "multi-resolution", "multidirection", "A image de-noising algorithm using adaptive bayes threshold by sub band based on nonsubsampled contour let transform is presented. Source images are decomposed to the domain of the NSCT, and According to different scales, different directions of sub-band energy, adaptive denoising threshold. Comparing with the multi-scale threshold using contour let transform and using adaptive threshold based on contour let transform, the simulation results show that the performance of this method is superior in Visual effects and psnr.
  • Keywords
    Bayes methods; image denoising; image resolution; transforms; NSCT; adaptive Bayes threshold; adaptive denoising threshold; image denoising algorithm; multidirection; multiresolution; nonsubsampled contourlet transform; psnr; subband; translation invariance; visual effects; Image denoising; Noise reduction; PSNR; Wavelet transforms; Bayes threshold; image de-noising; nonsubsampled contourlet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4673-4893-5
  • Type

    conf

  • DOI
    10.1109/ISDEA.2012.197
  • Filename
    6455733