DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorRaftopoulos, Konstantinos A.-
dc.contributor.authorGoudelis, Georgios-
dc.contributor.authorPapadakis, Nikos-
dc.contributor.authorKollias, Stefanos-
dc.contributor.authorTzouveli, Paraskevi-
dc.date.accessioned2024-10-30T12:48:47Z-
dc.date.available2024-10-30T12:48:47Z-
dc.date.issued2017-01-01-
dc.identifierscopus-85015395427-
dc.identifier.isbn978-3-319-84667-5-
dc.identifier.isbn978-3-319-51500-7-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2851-
dc.description.abstractPlain rotation, scaling, and/or translation (RST) of an image can lead to loss of watermark synchronization and thus authentication failure with standard techniques. The block-based approaches in particular, albeit strong against frequency and cropping attacks, are sensitive to geometric distortions due to the need for repositioning the blocks’ rectangular grid of reference. In this paper, we propose a block-based approach for watermarking image objects in a way that is invariant to RST distortions. With the term image object we refer to semantically contiguous parts of images that have a specific contour boundary. The proposed approach is based on shape information since the watermark is embedded in image blocks, the location and orientation of which are defined by Eulerian tours that are appropriately arranged in layers, around the object’s robust skeleton. The object’s robust skeleton is derived by its boundary after applying an extraction technique and not only is invariant to RST transformations but also to cropping, clipping, and other common deformation attacks, difficult to defend with current methods. Experiments using standard benchmark datasets demonstrate the advantages of the proposed scheme in comparison to alternative state-of-the-art methods.en_US
dc.language.isoenen_US
dc.relation.ispartofOperations Research, Engineering, and Cyber Security: Trends in Applied Mathematics and Technologyen_US
dc.relation.ispartofseriesSpringer Optimization and Its Applicationsen_US
dc.subjectImage watermarkingen_US
dc.subjectIntellectual property protectionen_US
dc.subjectInvariant watermarkingen_US
dc.subjectRegion-based watermarkingen_US
dc.titleRegion-based watermarking for imagesen_US
dc.typeBook Chapteren_US
dc.identifier.doi10.1007/978-3-319-51500-7_15en_US
dc.identifier.scopus2-s2.0-85015395427-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage331en_US
dc.identifier.epage343en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldEngineering and Technologyen_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusnot verifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeBook Chapter-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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