Image restoration using biorthogonal wavelet transform

Jean-Michel Bruneau; Michel Barlaud; Pierre Mathieu

doi:10.1117/12.24155

1 September 1990 Image restoration using biorthogonal wavelet transform

Jean-Michel Bruneau, Michel Barlaud, Pierre Mathieu

Author Affiliations +

Proceedings Volume 1360, Visual Communications and Image Processing '90: Fifth in a Series; (1990) https://doi.org/10.1117/12.24155
Event: Visual Communications and Image Processing '90, 1990, Lausanne, Switzerland

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.

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Jean-Michel Bruneau, Michel Barlaud, and Pierre Mathieu "Image restoration using biorthogonal wavelet transform", Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); https://doi.org/10.1117/12.24155

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