Frequency domain adaptive iterative image restoration and evaluation of the regularization parameter
Moon Gi Kang, Aggelos K. Katsaggelos · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1992
In this paper a nonlinear frequency domain adaptive regularized iterative image restoration algorithm is proposed, according to which the regularization parameter is frequency dependent and is updated at each iteration step. The development of the algorithm is based on a set theoretical regularization approach, where bounds on the error residual and the stabilizing functional are updated in the frequency domain at each iteration step. Sufficient conditions for the convergence of the algorithm are derived and experimental results are shown.