• DocumentCode
    527777
  • Title

    Seismic signal denoising method based on curvelet transform

  • Author

    Aidi Wu ; Xiuling Zhao

  • Author_Institution
    Dept. of Math. & Inf. Sci., Tianjin Univ. of Technol. & Educ., Tianjin, China
  • Volume
    7
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    3624
  • Lastpage
    3627
  • Abstract
    Considering the characteristic of curvelet coefficients in difference levels, a adaptive threshold denoising method is proposed by using fast discrete curvelet transform. Using total variation minimization reduces the noise while edges are preserved. Experiment results show that the method proposed is more effective than the traditional wavelet denoising method.
  • Keywords
    discrete wavelet transforms; geophysical signal processing; seismic waves; signal denoising; adaptive threshold denoising method; curvelet coefficients; difference levels; discrete curvelet transforms; seismic signal denoising; total variation minimization; wavelet denoising; Image edge detection; Noise reduction; Signal to noise ratio; TV; Wavelet transforms; curvelet transform; seismic signal; signal denoising; total variation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5584236
  • Filename
    5584236
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=527777