DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorTzouveli, Paraskevi-
dc.contributor.authorTsapatsoulis, Nicolas-
dc.contributor.authorKollias, Stefanos-
dc.date.accessioned2024-10-09T08:10:24Z-
dc.date.available2024-10-09T08:10:24Z-
dc.date.issued2002-11-
dc.identifiergoogle_scholar-vd7COBsAAAAJ:g3aElNc5_aQC-
dc.identifier.isbn978-981-4486-92-7-
dc.identifier.othervd7COBsAAAAJ:g3aElNc5_aQC-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2795-
dc.description.abstractIn this paper, a fully automatic scheme for hiding digital watermarks into face regions is proposed. To achieve this goal, an adaptive two-dimensional Gaussian model of skin color distribution is initially used in order to detect face regions within the initial image. Next each face region is decomposed into three levels with ten subbands, using the Discrete Wavelet Transform (DWT) and three pairs of subbands are formed (HL3, HL2), (LH3, LH2) and (HH3, HH2). Afterwards Qualified Significant Wavelet Trees (QSWTs), which are derived from the Embedded Zerotree Wavelet (EZW) algorithm and they are high-energy coefficient paths, are estimated for a pair of subbands. Finally visually recognizable watermark patterns are redundantly embedded to the coefficients of the highest energy QSWTs and the IDWT is applied to provide the watermarked face area Performance of the proposed face region watermarking system is tested under various signal distortions such as JPEG lossy compression, sharpening and blurring. Experimental results on real life images indicate the efficiency and robustness of the proposed scheme.en_US
dc.language.isoenen_US
dc.relation.ispartofRecent Trends In Multimedia Information Processingen_US
dc.sourceRecent Trends In Multimedia Information Processing, 407-412, 2002-
dc.titleAutomatic face region watermarking using qualified significant wavelet treesen_US
dc.typeConference Paperen_US
dc.relation.conference9th International Workshop on Systems, Signals and Image Processing, 7 - 8 November 2002, Manchester Town Hall, UKen_US
dc.identifier.doi10.1142/9789812776266_0064en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage407en_US
dc.identifier.epage412en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusnot verifieden_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeConference Paper-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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