6533b824fe1ef96bd128029b
RESEARCH PRODUCT
A knowledge based architecture for the virtual restoration of ancient photos
Edoardo ArdizzoneHaris DindoGiuseppe Mazzolasubject
Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryProcess (engineering)Interface (Java)020206 networking & telecommunications02 engineering and technologyOntology (information science)Task (project management)Domain (software engineering)World Wide WebImage restoration Historical photos Digitization Ontology Knowledge baseKnowledge baseArtificial IntelligenceSignal Processing0202 electrical engineering electronic engineering information engineeringWeb application020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionbusinessImage restoration Historical photos Digitization Ontology Knowledge baseSoftwareDigitizationdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-09-21 | Pattern Recognition |