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.
single-image super resolution, epsilon-subgradient method
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2379502
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