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dc.contributor.authorTralic, Den_US
dc.contributor.authorZupancic, Ien_US
dc.contributor.authorGrgic, Sen_US
dc.contributor.authorGrgic, Men_US
dc.date.accessioned2015-08-12T14:02:17Z
dc.date.issued2013-12-01en_US
dc.identifier.issn1334-2630en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/8150
dc.description.abstractDue to the availability of many sophisticated image processing tools, a digital image forgery is nowadays very often used. One of the common forgery method is a copy-move forgery, where part of an image is copied to another location in the same image with the aim of hiding or adding some image content. Numerous algorithms have been proposed for a copy-move forgery detection (CMFD), but there exist only few benchmarking databases for algorithms evaluation. We developed new database for a CMFD that consist of 260 forged image sets. Every image set includes forged image, two masks and original image. Images are grouped in 5 categories according to applied manipulation: translation, rotation, scaling, combination and distortion. Also, postprocessing methods, such as JPEG compression, blurring, noise adding, color reduction etc., are applied at all forged and original images. In this paper we present database organization and content, creation of forged images, postprocessing methods, and database testing. CoMoFoD database is available at http://www.vcl.fer.hr/comofoden_US
dc.description.sponsorshipMinistry of Science, Education and Sport, China; project numbers: 036-0361630-1635 and 036-0361630-1643en_US
dc.format.extent49 - 54en_US
dc.language.isoenen_US
dc.publisherIEEE Exploreen_US
dc.subjectdigital forensicsen_US
dc.subjectimage colour anlysisen_US
dc.subjectimage restorationen_US
dc.subjectvisual databasesen_US
dc.subjectCMFDen_US
dc.subjectCoMFoDen_US
dc.subjectJPEG compressionen_US
dc.subjectalgorithms evaluationen_US
dc.subjectbenchmarking databasesen_US
dc.subjectcolour reductionen_US
dc.subjectcopy move forgery detectionen_US
dc.subjectdatabase organisationen_US
dc.subjectdigital imge forgeryen_US
dc.subjectimage contenten_US
dc.subjectimage deblurringen_US
dc.subjectprocessing toolsen_US
dc.subjectnoise addingen_US
dc.subjectImage codingen_US
dc.subjectNoiseen_US
dc.subjectPost Processing methodsen_US
dc.subjectTransform codingen_US
dc.titleCoMoFoD #x2014; New database for copy-move forgery detectionen_US
dc.typeConference Proceeding
dc.rights.holder(C) IEEE, 2013.
pubs.notesNot knownen_US
pubs.notesMetadata onlyen_US
pubs.publication-statusPublisheden_US
pubs.publisher-urlhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6658316en_US


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