• DocumentCode
    158194
  • Title

    The de-noising method of threshold function based on wavelet

  • Author

    Kun Yang ; Cai-Xia Deng ; Yu Chen ; Li-Xiang Xu

  • Author_Institution
    Sch. of Appl. Sci., Harbin Univ. of Sci. & Technol., Harbin, China
  • fYear
    2014
  • fDate
    13-16 July 2014
  • Firstpage
    87
  • Lastpage
    92
  • Abstract
    Image in the process of collection and storage can produce noise. Wavelet threshold de-noising is a method to remove noise effectively. The threshold function is a key in wavelet threshold de-noising method. In view of the hard-threshold function discontinuity and soft-threshold function deviation problem, through the analysis of the existing wavelet threshold de-noising methods, we present the improvement de-noising method of threshold function with the parameters in adjustable. Through experiments, we compare our method with the existing methods of wavelet threshold de-noising. In terms of the evaluation criteria, we find that the improved method of threshold function can remove the noise effectively.
  • Keywords
    image denoising; wavelet transforms; hard-threshold function discontinuity; soft-threshold function deviation problem; wavelet threshold denoising method; Noise; Noise reduction; Pattern recognition; Wavelet analysis; Wavelet coefficients; Threshold; Threshold function; Wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition (ICWAPR), 2014 International Conference on
  • Conference_Location
    Lanzhou
  • ISSN
    2158-5695
  • Print_ISBN
    978-1-4799-4212-1
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2014.6961296
  • Filename
    6961296