Historical images are essential documents of the recent past. Nevertheless, time and bad preservation corrupt their physical supports. Digitization can be the solution to extend their “lives”, and digital techniques can be used to recover lost information. This task is often difficult and time-consuming, if commercial restoration tools are used for the purpose. A new solution is proposed to help non-expert users in restoring their damaged photos. First, we defined a dual taxonomy for the defects in printed and digitized photos. We represented our restoration domain with an ontology and we created some rules to suggest actions to perform in case of some specific events. Classes and properties of the ontology are included into a knowledge base, that grows dynamically with its use. A prototypal tool and a web application version have been implemented as an interface to the database, and to support non-expert users in the restoration process.

Ardizzone, E., Dindo, H., & Mazzola, G. (2018). A knowledge based architecture for the virtual restoration of ancient photos. PATTERN RECOGNITION, 74, 326-339 [10.1016/j.patcog.2017.09.031].

A knowledge based architecture for the virtual restoration of ancient photos

ARDIZZONE, Edoardo;DINDO, Haris;MAZZOLA, Giuseppe
2018

Abstract

Historical images are essential documents of the recent past. Nevertheless, time and bad preservation corrupt their physical supports. Digitization can be the solution to extend their “lives”, and digital techniques can be used to recover lost information. This task is often difficult and time-consuming, if commercial restoration tools are used for the purpose. A new solution is proposed to help non-expert users in restoring their damaged photos. First, we defined a dual taxonomy for the defects in printed and digitized photos. We represented our restoration domain with an ontology and we created some rules to suggest actions to perform in case of some specific events. Classes and properties of the ontology are included into a knowledge base, that grows dynamically with its use. A prototypal tool and a web application version have been implemented as an interface to the database, and to support non-expert users in the restoration process.
Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni
Ardizzone, E., Dindo, H., & Mazzola, G. (2018). A knowledge based architecture for the virtual restoration of ancient photos. PATTERN RECOGNITION, 74, 326-339 [10.1016/j.patcog.2017.09.031].
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S0031320317303837-main.pdf

non disponibili

Descrizione: Articolo Principale
Tipologia: Versione Editoriale
Dimensione 4.64 MB
Formato Adobe PDF
4.64 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS 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: http://hdl.handle.net/10447/242354
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 4
social impact