The cookie-related information is fully under our control. These cookies are not used for any purpose other than those described here. Unibo policy
Recent numerical methods for image deblurring decompose nonlinear problems into simpler subproblems and usually require an inner linear regularization. We combine a simple linear iterative regularization method with soft-thresholding framelet denoising in a multigrid scheme. The coarsening strategy of the proposed multigrid method allows to achieve fast computations at each coarser level independently of the blurring operator. Projecting every iteration in a closed and convex set, we prove that it is a regularization method.
This presentation is part of Minisymposium “MS34 - Numerical Linear Algebra techniques for Image Restoration and Reconstruction (2 parts)”
organized by: Caterina Fenu (University of Cagliari) , Marco Donatelli (University of Insubria) .