A Comparison of Wavelet Family of Transforms from Image Forensics Perspective

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dc.authoridOzparlak, Levent/0000-0003-1087-9904;
dc.contributor.authorOzparlak, Levent
dc.contributor.authorAvcibas, Ismail
dc.date.accessioned2025-10-24T18:10:24Z
dc.date.available2025-10-24T18:10:24Z
dc.date.issued2012
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description9th International Conference on Electronics Computer and Computation (ICECCO 2012) -- NOV 01-03, 2012 -- Ankara, TURKEY
dc.description.abstractIn this study, we compare wavelet based transforms for the cases of different image forensics problems. We extract wavelet based features and make experiments for different problems. The results show that a mixture of wavelet based features give the best performance in each experiment. In the absence of such a classifier with mixed features, the best performing features were obtained from contourlet transform coefficients.
dc.description.sponsorshipInt Assoc Univ,Surat Technol,Yildirim Elect,BMD Solar
dc.identifier.endpage250
dc.identifier.isbn978-605-87394-6-8
dc.identifier.issn#DEĞER!
dc.identifier.startpage247
dc.identifier.urihttps://hdl.handle.net/20.500.12899/4161
dc.identifier.wosWOS:000396806300059
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherTurgut Ozal Univ
dc.relation.ispartofIcecco'12: 9th International Conference On Electronics, Computer And Computation
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20251023
dc.subjectImage Manipulation; Image Forensics; Wavelet Transform; Contourlet Transform; Ridgelet Transform
dc.titleA Comparison of Wavelet Family of Transforms from Image Forensics Perspective
dc.typeConference Object

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