Image restoration using biorthogonal wavelet transform
Jean-Michel Bruneau, Michel Barlaud, Pierre-Philippe Mathieu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1990
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.