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Πεδίο DCΤιμήΓλώσσα
dc.contributor.authorMaronidis, Anastasios-
dc.contributor.authorVoutounos, Chrysanthos-
dc.contributor.authorLanitis, Andreas-
dc.date.accessioned2023-06-13T11:06:02Z-
dc.date.available2023-06-13T11:06:02Z-
dc.date.issued2015-11-
dc.identifier.citationMultimedia Tools and Applications: An International Journal, 2015, v.74, no.21, p.p. 9747-9770en_US
dc.identifier.issn13807501-
dc.identifier.issn15737721-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/29293-
dc.description.abstractThe use of image processing techniques in cultural heritage applications has been gaining increasing interest in the research community. In this paper, an integrated framework that can be used for virtual restoration of the facial region of damaged Byzantine icons is presented. A key aspect of the proposed methodology is the integration of practices adopted by expert icon restorers into a machine-based expert system that incorporates the modules of damage detection, shape and texture restoration. Damage detection is performed based on a residual-based approach, while the shape restoration method utilizes a 3D shape model generated by incorporating a set of geometrical rules defined by expert Byzantine style iconographers. Texture restoration is based on the recursive Principal Component Analysis (PCA) technique so that combinations of colors learned from a training set are applied to the damaged icon regions. All modules, developed as part of this framework, are incorporated into a user-friendly application that can be used by amateurs or professional Byzantine icon restorers and conservators. The potential of the developed tool has been validated through a quantitative experimental process and a user-based evaluation.en_US
dc.language.isoenen_US
dc.relation.ispartofMultimedia Tools and Applicationsen_US
dc.rights© 2023 Springer Natureen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subjectDamage detectionen_US
dc.subjectShape restorationen_US
dc.subjectTexture restorationen_US
dc.subjectExpert systemen_US
dc.subjectIcon restorationen_US
dc.subjectStatistical appearance modelsen_US
dc.titleDesigning and evaluating an expert system for restoring damaged byzantine iconsen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryComputer and Information Sciencesen_US
dc.subject.categoryArtsen_US
dc.subject.categoryDesignen_US
dc.journalsSubscriptionen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.subject.fieldSocial Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1007/s11042-014-2149-1en_US
dc.identifier.scopus2-s2.0-84942502493en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84942502493en
dc.relation.issue21en_US
dc.relation.volume74en_US
cut.common.academicyear2015-2016en_US
dc.identifier.external84942502493en
dc.identifier.spage9747en_US
dc.identifier.epage9770en_US
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.openairetypearticle-
crisitem.journal.journalissn1573-7721-
crisitem.journal.publisherSpringer Nature-
crisitem.author.deptDepartment of Multimedia and Graphic Arts-
crisitem.author.deptDepartment of Multimedia and Graphic Arts-
crisitem.author.deptDepartment of Multimedia and Graphic Arts-
crisitem.author.facultyFaculty of Fine and Applied Arts-
crisitem.author.facultyFaculty of Fine and Applied Arts-
crisitem.author.facultyFaculty of Fine and Applied Arts-
crisitem.author.orcid0000-0001-6841-8065-
crisitem.author.parentorgFaculty of Fine and Applied Arts-
crisitem.author.parentorgFaculty of Fine and Applied Arts-
crisitem.author.parentorgFaculty of Fine and Applied Arts-
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