Image restoration using biorthogonal wavelet transforms

Jean-Michel Bruneau; Pierre Mathieu

doi:10.1117/12.166893

1 July 1994 Image restoration using biorthogonal wavelet transforms

Jean-Michel Bruneau, Pierre Mathieu

Author Affiliations +

Optical Engineering, Vol. 33, Issue 7, (July 1994). https://doi.org/10.1117/12.166893

Abstract

One well-known method to solve ill-posed problems in image restoration is to use regularization techniques. A new scheme is proposed for digital image restoration based on a regularization method and on the biorthogonal wavelet transform. We show that, in cases where the blur filter can be considered as a low-pass filter of a biorthogonal multiresolution analysis, it is possible to obtain an efficient family of regularization operators from the convolution operator alone.

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Jean-Michel Bruneau and Pierre Mathieu "Image restoration using biorthogonal wavelet transforms," Optical Engineering 33(7), (1 July 1994). https://doi.org/10.1117/12.166893

Published: 1 July 1994

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