• DocumentCode
    2219573
  • Title

    Signal and image denoising via scale-space atoms

  • Author

    Bruni, V. ; Piccoli, B. ; Vitulano, D.

  • Author_Institution
    Ist. per le Applicazione del Calcolo "M. Picone", Rome, Italy
  • fYear
    2006
  • fDate
    4-8 Sept. 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper a scale-space model for signal and image denoising is presented. The wavelet coefficients are split into overlapping atoms and their evolution law through scales is formally derived. This formalism accounts for both inter and intra-scale dependencies of wavelet coefficients and then it can be exploited for denoising. Experimental results show that the proposed algorithm outperforms the most effective wavelet based denoising techniques.
  • Keywords
    image denoising; signal denoising; wavelet transforms; image denoising; intra-scale dependencies; scale-space atoms model; signal denoising; Abstracts; Equations; Interference; Noise; Noise measurement; Noise reduction; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2006 14th European
  • Conference_Location
    Florence
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7071383
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2219573