• DocumentCode
    3571784
  • Title

    An empirical wavelet estimator for image denoising

  • Author

    Pesquet, J.C.

  • Author_Institution
    Univ. de Paris-Sud, Orsay, France
  • Volume
    1
  • fYear
    1997
  • Firstpage
    91
  • Abstract
    Most of the existing works concerning wavelet methods for 1D signal denoising are based on hard or soft thresholding estimators. However, their application to image denoising does not always lead to satisfactory results. In this work, we present a new nonlinear estimation method whose characteristics are adapted to the statistics of the image under study.
  • Keywords
    adaptive signal processing; estimation theory; image enhancement; statistical analysis; wavelet transforms; empirical wavelet estimator; image denoising; nonlinear estimation method; statistics; Additive noise; Bayesian methods; Gaussian noise; Image denoising; Minimax techniques; Noise reduction; Noise robustness; Satellites; Statistics; Wavelet packets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
  • ISSN
    1058-6393
  • Print_ISBN
    0-8186-8316-3
  • Type

    conf

  • DOI
    10.1109/ACSSC.1997.680035
  • Filename
    680035
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3571784