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https://hdl.handle.net/20.500.11851/6236
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Bayram, Sevinç | - |
dc.contributor.author | Sencar, Hüsrev Taha | - |
dc.contributor.author | Memon, Nasir | - |
dc.date.accessioned | 2021-09-11T15:35:25Z | - |
dc.date.available | 2021-09-11T15:35:25Z | - |
dc.date.issued | 2009 | en_US |
dc.identifier.citation | IEEE International Conference on Acoustics, Speech and Signal Processing -- APR 19-24, 2009 -- Taipei, TAIWAN | en_US |
dc.identifier.isbn | 978-1-4244-2353-8 | - |
dc.identifier.issn | 1520-6149 | - |
dc.identifier.uri | https://doi.org/10.1109/ICASSP.2009.4959768 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/6236 | - |
dc.description.abstract | Copy-move forgery is a specific type of image tampering, where a part of the image is copied and pasted on another part of the same image. In this paper, we propose a new approach for detecting copy-move forgery in digital images, which is considerably more robust to lossy compression, scaling and rotation type of manipulations. Also, to improve the computational complexity in detecting the duplicated image regions, we: propose to use the notion of counting bloom filters as an alternative to lexicographic sorting, which is a common component of most of the proposed copy-move forgery detection schemes. Our experimental results show that the proposed features can detect duplicated region in the images very accurately, even when the copied region was undergone severe image manipulations. In addition, it is observed that use of counting bloom filters offers a considerable improvement in time efficiency at the expense of a slight reduction in the robustness. | en_US |
dc.description.sponsorship | IEEE, IEEE Signal Proc Soc | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2009 IEEE International Conference On Acoustics, Speech, And Signal Processing, Vols 1- 8, Proceedings | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Digital Forensics | en_US |
dc.subject | tamper detection | en_US |
dc.subject | copy-move forgery | en_US |
dc.subject | duplicated region detection | en_US |
dc.title | An Efficient and Robust Method for Detecting Copy-Move Forgery | en_US |
dc.type | Conference Object | en_US |
dc.relation.ispartofseries | International Conference on Acoustics Speech and Signal Processing ICASSP | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Computer Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | tr_TR |
dc.identifier.startpage | 1053 | en_US |
dc.identifier.endpage | + | en_US |
dc.identifier.wos | WOS:000268919200264 | en_US |
dc.identifier.scopus | 2-s2.0-70349199203 | en_US |
dc.institutionauthor | Sencar, Hüsrev Taha | - |
dc.identifier.doi | 10.1109/ICASSP.2009.4959768 | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.relation.conference | IEEE International Conference on Acoustics, Speech and Signal Processing | en_US |
item.openairetype | Conference Object | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.3. Department of Computer Engineering | - |
Appears in Collections: | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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