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.
2017
single-image super resolution, epsilon-subgradient method
File in questo prodotto:
File Dimensione Formato  
Lazzaro_2017_J._Phys.__Conf._Ser._904_012009.pdf

accesso aperto

Descrizione: file
Tipologia: Full text (versione editoriale)
Licenza: Creative commons
Dimensione 726.07 kB
Formato Adobe PDF
726.07 kB Adobe PDF Visualizza/Apri

I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2379502
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 1
social impact