In this paper we propose an epsilon-subgradient method for solving a constrained minimization problem arising in super-resolution imaging applications. The method, compared to the state-of-the-art methods for single image super-resolution on some test problems, proves to be very efficient, both for the reconstruction quality and the computational time.
A fast subgradient algorithm in image super-resolution
Ruggiero, V.;
2017
Abstract
In this paper we propose an epsilon-subgradient method for solving a constrained minimization problem arising in super-resolution imaging applications. The method, compared to the state-of-the-art methods for single image super-resolution on some test problems, proves to be very efficient, both for the reconstruction quality and the computational time.File in questo prodotto:
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Lazzaro_2017_J._Phys.__Conf._Ser._904_012009.pdf
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