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Optical Engineering

Image restoration using biorthogonal wavelet transforms
Author(s): Jean-Michel Bruneau; Pierre Mathieu
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Paper 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.

Paper Details

Date Published: 1 July 1994
PDF: 7 pages
Opt. Eng. 33(7) doi: 10.1117/12.166893
Published in: Optical Engineering Volume 33, Issue 7
Show Author Affiliations
Jean-Michel Bruneau, CNRS - Univ. de Nice (France)
Pierre Mathieu, Univ. de Nice--Sophia Antipolis (France)


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