• DocumentCode
    1217582
  • Title

    Multiwavelets denoising using neighboring coefficients

  • Author

    Chen, G.Y. ; Bui, T.D.

  • Author_Institution
    Dept. of Comput. Sci., Concordia Univ., Montreal, Canada
  • Volume
    10
  • Issue
    7
  • fYear
    2003
  • fDate
    7/1/2003 12:00:00 AM
  • Firstpage
    211
  • Lastpage
    214
  • Abstract
    Multiwavelets give better results than single wavelets for signal denoising. We study multiwavelet thresholding by incorporating neighboring coefficients. Experimental results show that this approach is better than the conventional approach, which only uses the term-by-term multiwavelet denoising. Also, it outperforms neighbor single wavelet denoising for some standard test signals and real-life images. This is an extension to Cai and Silverman´s (see Sankhya: Ind. J. Stat. B, pt.2, vol.63, p.127-148, 2001) work.
  • Keywords
    image denoising; wavelet transforms; multiwavelet thresholding; multiwavelets denoising; neighbor single wavelet denoising; neighboring coefficients; real-life images; signal denoising; standard test signals; Gaussian distribution; Hidden Markov models; Higher order statistics; Noise reduction; Signal denoising; Testing; Wavelet coefficients; Wavelet domain; Wavelet transforms; White noise;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2003.811586
  • Filename
    1203786