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. >
['Gaofeng Wang', 'Jun Zhang', 'Guangwen Pan']
Solution of inverse problems in image processing by wavelet expansion