Fake Image Detection Using DCT and Local Binary Pattern

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dc.authoridBueno, Regis Cortez/0000-0002-2923-4930|Battini Sonmez, Elena/0000-0003-0090-984X
dc.authorwosidBueno, Regis Cortez/AAG-3852-2020
dc.authorwosidBattini Sonmez, Elena/AAZ-6358-2021
dc.contributor.authorKunbaz, Ayah
dc.contributor.authorSaghir, Souzi
dc.contributor.authorArar, Mira
dc.contributor.authorSonmez, Elena Battini
dc.date.accessioned2024-07-18T20:50:56Z
dc.date.available2024-07-18T20:50:56Z
dc.date.issued2019
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description9th International Conference on Image Processing Theory, Tools and Applications (IPTA) -- NOV 06-09, 2019 -- Istanbul, TURKEYen_US
dc.description.abstractIn the technological era, digital images occupy an important position in different life's fields and image tampering has become affordable effortlessly, which results in a widespread of tampered and fake images through the internet and social media specifically. There are many techniques for image manipulation, some of the well-known methods are splicing and copy-move. Splicing can be defined as cutting part from an image and pasting it into another picture, while copy-move is about copying part of an image and pasting it into the same picture. This paper challenges splicing and copy -move forgery detection methods on CASIA TIDE databases. The proposed method is based on Local Binary Pattern (LBP), and 2D Discrete Cosine Transform (DCT), which are used for feature extraction. Afterward, a Support Vector Machine (SVM) classifier distinguishes real and manipulated images. Initial performance was increased by applying Local Binary Pattern (LBP) to the whole image rather than in a block-based fashion. The proposed model reaches the-state of- the-art in the CASIA TIDE v1.0 database with remarkable results in terms of accuracy.en_US
dc.description.sponsorshipEURASIP,IEEE,Yeditepe Univ,IEEE Turkey Sect,Univ Paris Saclay,IEEE France Sect,IEEE Yeditepe, KEKAMen_US
dc.identifier.isbn978-1-7281-3975-3
dc.identifier.issn2154-512X
dc.identifier.scopus2-s2.0-85077956043en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11411/8291
dc.identifier.wosWOS:000529320000036en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2019 Ninth International Conference on Image Processing Theory, Tools and Applications (Ipta)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectTerms Image Forgeryen_US
dc.subjectCopy-Moveen_US
dc.subjectSplicingen_US
dc.subjectLocal Binary Patternen_US
dc.subjectDiscrete Cosine Transformen_US
dc.subjectSupport Vector Machineen_US
dc.titleFake Image Detection Using DCT and Local Binary Pattern
dc.typeConference Object

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