6 December 2002 A hybrid GMRES and TV-norm-based method for image restoration
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Abstract
Total variation-penalized Tikhonov regularization is a popular method for the restoration of images that have been degraded by noise and blur. The method is particularly effective, when the desired noise- and blur-free image has edges between smooth surfaces. The method, however, is computationally expensive. We describe a hybrid regularization method that combines a few steps of the GMRES iterative method with total variation-penalized Tikhonov regularization on a space of small dimension. This hybrid method requires much less computational work than available methods for total variation-penalized Tikhonov regularization and can produce restorations of similar quality.
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Daniela Calvetti, Bryan Lewis, Lothar Reichel, "A hybrid GMRES and TV-norm-based method for image restoration", Proc. SPIE 4791, Advanced Signal Processing Algorithms, Architectures, and Implementations XII, (6 December 2002); doi: 10.1117/12.452016; https://doi.org/10.1117/12.452016
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