In this talk we describe and demonstrate basic capabilities of a new MATLAB software package that consists of state-of-the-art iterative methods to solve large scale discretizations of inverse problems. The package allows users to easily experiment with different iterative methods and regularization strategies with very little programming effort. The package includes several test problems and examples to illustrate how the iterative methods can be used on a variety of large-scale inverse problems.

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) .

Authors:

James Nagy (Emory University)

Silvia Gazzola (University of Bath)

Per Christian Hansen (Technical University of Denmark)

Keywords:

computed tomography, image deblurring, image reconstruction, inverse problems, numerical linear algebra