Iterative global and local methods of image restoration

Authors:
O. Milukova;V. Kober;V. Karnaukhov;I. A. Ovseyevich
Affiliations:
Institute for Information Transmission Problems Bolshoi Karetnii 19, Moscow, Russia 127994;Institute for Information Transmission Problems Bolshoi Karetnii 19, Moscow, Russia 127994 and Department of Computer Science, Division of Applied Physics CICESE, Ensenada, Mexico B.C. 22860;Department of Computer Science, Division of Applied Physics CICESE, Ensenada, Mexico B.C. 22860;Department of Computer Science, Division of Applied Physics CICESE, Ensenada, Mexico B.C. 22860
Venue:
Pattern Recognition and Image Analysis
Year:
2011

Citing 3
Cited 0

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Abstract

Most of the reconstruction algorithms smooth out the edges of the reconstructed images but iterative total variation regularization and local adaptive methods preserve the edge information without any prior knowledge about the image geometric details. The restoration performance of the proposed algorithms for image deblurring is compared in terms of the mean squared error. Computer simulation results are provided and discussed.