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http://hdl.handle.net/11452/22016
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sencar, Hüsrev | - |
dc.contributor.author | Memon, Nasir | - |
dc.date.accessioned | 2021-09-17T12:11:24Z | - |
dc.date.available | 2021-09-17T12:11:24Z | - |
dc.date.issued | 2006 | - |
dc.identifier.citation | Bayram, S. vd. (2006). ''Identifying digital cameras using CFA interpolation''. ed. M S Olivier ve S Shenoi. Advances in Digital Forensics II, Series International Federation for Information Processing, 222, 289-299. | en_US |
dc.identifier.isbn | 0-387-36890-6 | - |
dc.identifier.issn | 1571-5736 | - |
dc.identifier.uri | http://hdl.handle.net/11452/22016 | - |
dc.description | Bu çalışma, 29 Ocak-1 Şubat 2006 tarihleri arasında Orlando[ABD]'de düzenlenen 2. International Conference on Digital Forensics'de bildiri olarak sunulmuştur. | tr_TR |
dc.description.abstract | In an earlier work [4], we proposed a technique for identifying digital camera models based on trace evidence left by their proprietary interpolation algorithms. This work improves on our previous approach by incorporating methods to better detect interpolation artifacts in smooth image parts. To identify the source camera model of a digital image, new features that can detect traces of low-order interpolation are introduced and used in conjunction with a support vector machine based multiclass classifier. Experimental results are presented for source camera identification from among multiple digital camera models. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Computer science | en_US |
dc.subject | Interpolation | en_US |
dc.subject | Image forensics | en_US |
dc.subject | Digital cameras | en_US |
dc.subject | Color filter arrays | en_US |
dc.subject | Wave filters | en_US |
dc.subject | Video cameras | en_US |
dc.subject | Interpolation | en_US |
dc.subject | Electronic crime countermeasures | en_US |
dc.subject | Digital cameras | en_US |
dc.subject | Computer crime | en_US |
dc.subject | Color image processing | en_US |
dc.subject | Trace evidences | en_US |
dc.subject | Multi-class classifier | en_US |
dc.subject | Interpolation algorithms | en_US |
dc.subject | Image forensics | en_US |
dc.subject | Digital image | en_US |
dc.subject | CFA interpolation | en_US |
dc.subject | Camera model | en_US |
dc.subject | Cameras | en_US |
dc.title | Identifying digital cameras using CFA interpolation | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.wos | 000240980400023 | tr_TR |
dc.identifier.scopus | 2-s2.0-34047216385 | tr_TR |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası | tr_TR |
dc.contributor.department | Uludağ Üniversitesi/Mühendislik Mimarlık Fakültesi/Elektronik Mühendisliği Bölümü. | tr_TR |
dc.identifier.startpage | 289 | tr_TR |
dc.identifier.endpage | 299 | tr_TR |
dc.identifier.volume | 222 | tr_TR |
dc.relation.journal | Advances in Digital Forensics II, Series International Federation for Information Processing | en_US |
dc.contributor.buuauthor | Bayram, Sevinç | - |
dc.relation.collaboration | Yurt dışı | tr_TR |
dc.subject.wos | Computer science, theory & methods | en_US |
dc.subject.wos | Computer science, software engineering | en_US |
dc.indexed.wos | CPCIS | en_US |
dc.indexed.scopus | Scopus | en_US |
dc.contributor.scopusid | 24597383800 | tr_TR |
dc.subject.scopus | Forgery; Tampering; Discrete Cosine Transforms | en_US |
Appears in Collections: | Scopus Web of Science |
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