Yayın:
Image manipulation detection

Basit Görünüm
dc.contributor.authorSankur, Bülent
dc.contributor.authorMemon, Nasir
dc.contributor.buuauthorBayram, Sevinç
dc.contributor.buuauthorAvcıbaş, İsmail
dc.contributor.departmentMühendislik Fakültesi
dc.contributor.departmentElektronik Mühendisliği Ana Bilim Dalı
dc.contributor.researcheridH-9089-2018
dc.contributor.scopusid24597383800
dc.contributor.scopusid6602339258
dc.date.accessioned2021-08-16T07:56:46Z
dc.date.available2021-08-16T07:56:46Z
dc.date.issued2006
dc.description.abstractTechniques and methodologies for validating the authenticity of digital images and testing for the presence of doctoring and manipulation operations on them has recently attracted attention. We review three categories of forensic features and discuss the design of classifiers between doctored and original images. The performance of classifiers with respect to selected controlled manipulations as well as to uncontrolled manipulations is analyzed. The tools for image manipulation detection are treated under feature fusion and decision fusion scenarios.
dc.identifier.citationBayram, S. vd. (2006). ''Image manipulation detection''. Journal of Electronic Imaging, 15(4), 041102.
dc.identifier.doi10.1117/1.2401138
dc.identifier.issn1017-9909
dc.identifier.issn1560-229X
dc.identifier.issue4
dc.identifier.scopus2-s2.0-33847671791
dc.identifier.urihttps://doi.org/10.1117/1.2401138
dc.identifier.urihttps://www.spiedigitallibrary.org/journals/journal-of-electronic-imaging/volume-15/issue-4/041102/Image-manipulation-detection/10.1117/1.2401138.short?SSO=1
dc.identifier.urihttp://hdl.handle.net/11452/21430
dc.identifier.volume15
dc.identifier.wos000244002500002
dc.indexed.wosSCIE
dc.language.isoen
dc.publisherIs &T & Spie
dc.relation.collaborationYurt içi
dc.relation.collaborationYurt dışı
dc.relation.journalJournal of Electronic Imaging
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectEngineering
dc.subjectOptics
dc.subjectImaging science & photographic technology
dc.subjectExposing digital forgeries
dc.subjectQuality
dc.subjectFeature extraction
dc.subjectImage classification
dc.subjectImage recognition
dc.subjectImage reconstruction
dc.subjectDecision fusion
dc.subjectFeature fusion
dc.subjectForensic features
dc.subjectImage manipulation
dc.subjectImage analysis
dc.subject.scopusForgery; Tampering; Discrete Cosine Transforms
dc.subject.wosEngineering, electrical & electronic
dc.subject.wosOptics
dc.subject.wosImaging science & photographic technology
dc.titleImage manipulation detection
dc.typeArticle
dc.wos.quartileQ2 (Engineering, electrical & electronic)
dc.wos.quartileQ3
dspace.entity.typePublication
local.contributor.departmentMühendislik Fakültesi/Elektronik Mühendisliği Ana Bilim Dalı
local.indexed.atScopus
local.indexed.atWOS

Dosyalar

Lisanslı seri

Şimdi gösteriliyor 1 - 1 / 1
Placeholder
Ad:
license.txt
Boyut:
1.71 KB
Format:
Item-specific license agreed upon to submission
Açıklama
İndir

Koleksiyonlar

İndeksli Yayınlar / Indexed Publications