• DocumentCode
    3739634
  • Title

    A Wavelet Image Denoising Based on the New Threshold Function

  • Author

    Guanghui Deng;Zengli Liu

  • Author_Institution
    Dept. of Commun. Eng., Kunming Univ. of Sci. &
  • fYear
    2015
  • Firstpage
    158
  • Lastpage
    161
  • Abstract
    A novel thresholding function is presented based on the wavelet put forward by Donoho and Johnstone. This new thresholding function proposed to overcome hard wavelet threshold function is not continuous. Wavelet soft threshold function constant deviation and derivative discontinuity defects. It is clear in physics meaning and simple in expression. Experimental results show that the new thresholding function denoising resulting in minimum mean square error (MSE) and peak signal-to-noise ratio (PSNR) is superior to the traditional soft and hard threshold function.
  • Keywords
    "Noise reduction","Wavelet coefficients","Image denoising","Image edge detection","Image reconstruction","PSNR"
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security (CIS), 2015 11th International Conference on
  • Type

    conf

  • DOI
    10.1109/CIS.2015.46
  • Filename
    7396276