Deconvolution by thresholding in mirror wavelet bases

  • Authors:
  • J. Kalifa;S. Mallat;B. Rouge

  • Affiliations:
  • Centre de Math. Appliquees, Ecole Polytechnique, Palaiseau, France;-;-

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 2003

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Abstract

The deconvolution of signals is studied with thresholding estimators that decompose signals in an orthonormal basis and threshold the resulting coefficients. A general criterion is established to choose the orthonormal basis in order to minimize the estimation risk. Wavelet bases are highly sub-optimal to restore signals and images blurred by a low-pass filter whose transfer function vanishes at high frequencies. A new orthonormal basis called mirror wavelet basis is constructed to minimize the risk for such deconvolutions. An application to the restoration of satellite images is shown.