In this paper we propose an ε-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.
Lazzaro, D., Loli Piccolomini, E., Ruggiero, V., Zama, F. (2017). A fast subgradient algorithm in image super-resolution. JOURNAL OF PHYSICS. CONFERENCE SERIES, 904, 012009-012015 [10.1088/1742-6596/904/1/012009].
A fast subgradient algorithm in image super-resolution
LAZZARO, DAMIANA;LOLI PICCOLOMINI, ELENA;RUGGIERO, VALERIA;ZAMA, FABIANA
2017
Abstract
In this paper we propose an ε-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:
Eventuali allegati, non sono esposti
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
