Abstract

A wavelet approach to linear inverse problems in image processing is described. The images and the operator to be inverted are expanded by wavelets and various constraints for a regularized solution are enforced through wavelet coefficients. The approach also provides a solution to an important problem in multigrid/multiresolution processing: representing an operator in different resolutions. The application of the proposed approach is demonstrated through image restoration. Good results are obtained.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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