Open AccessA fast subgradient algorithm in image super-resolution
Author(s) -
Damiana Lazzaro,
Elena Loli Piccolomini,
Valeria Ruggiero,
Fabiana Zama
Publication year - 2017
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/904/1/012009
Subject(s) - subgradient method , superresolution , minification , algorithm , image (mathematics) , resolution (logic) , computer science , mathematical optimization , artificial intelligence , mathematics
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