Frequency domain adaptive iterative image restoration and evaluation of the regularization parameter

Moon Gi Kang; Aggelos K. Katsaggelos

doi:10.1117/12.131413

1 November 1992 Frequency domain adaptive iterative image restoration and evaluation of the regularization parameter

Proceedings Volume 1818, Visual Communications and Image Processing '92; (1992) https://doi.org/10.1117/12.131413
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

Abstract

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.

Citation Download Citation

Moon Gi Kang and Aggelos K. Katsaggelos "Frequency domain adaptive iterative image restoration and evaluation of the regularization parameter", Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); https://doi.org/10.1117/12.131413

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