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Proceedings Paper

Image restoration using biorthogonal wavelet transform
Author(s): Jean-Michel Bruneau; Michel Barlaud; Pierre Mathieu
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Paper Abstract

A well-known method to solve ill-posed problem in image restoration is to use regularization techniques. The purpose of this paper is to propose a new scheme for digital image restoration based on a regularization method and on the BiOrthogonal Wavelet Transform. We show that, in cases where the blur function can be considered a scale function 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 September 1990
PDF: 12 pages
Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); doi: 10.1117/12.24155
Show Author Affiliations
Jean-Michel Bruneau, Univ. de Nice-Sophia Antipolis (France)
Michel Barlaud, Univ. de Nice-Sophia Antipolis (France)
Pierre Mathieu, Univ. de Nice-Sophia Antipolis (France)

Published in SPIE Proceedings Vol. 1360:
Visual Communications and Image Processing '90: Fifth in a Series
Murat Kunt, Editor(s)

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