Adaptive Arnoldi-Tikhonov regularization for image restoration
| Autor: | Paolo Novati, Maria Rosaria Russo |
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| Přispěvatelé: | Novati, Paolo, Russo, Maria Rosaria |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Mathematical optimization
Applied Mathematics Numerical analysis Tikhonov regularization Linear system Regularization perspectives on support vector machines Backus–Gilbert method Regularization (mathematics) Image restoration Linear discrete ill-posed problem Krylov subspace methods Theory of computation Linear discrete ill-posed problem Image restoration Tikhonov regularization Krylov subspace methods Algorithm Mathematics |
| Popis: | In the framework of the numerical solution of linear systems arising from image restoration, in this paper we present an adaptive approach based on the reordering of the image approximations obtained with the Arnoldi-Tikhonov method. The reordering results in a modified regularization operator, so that the corresponding regularization can be interpreted as problem dependent. Numerical experiments are presented. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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