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dc.contributor.authorLin, Xiang
dc.contributor.authorLi, Jian-Hua
dc.contributor.authorWang, Shi-Lin
dc.contributor.authorLiew, Alan-Wee-Chung
dc.contributor.authorCheng, Feng
dc.contributor.authorHuang, Xiao-Sa
dc.date.accessioned2019-06-19T13:08:42Z
dc.date.available2019-06-19T13:08:42Z
dc.date.issued2018
dc.identifier.issn2095-8099
dc.identifier.doi10.1016/j.eng.2018.02.008
dc.identifier.urihttp://hdl.handle.net/10072/381052
dc.description.abstractWith the development of sophisticated image editing and manipulation tools, the originality and authenticity of a digital image is usually hard to determine visually. In order to detect digital image forgeries, various kinds of digital image forensics techniques have been proposed in the last decade. Compared with active forensics approaches that require embedding additional information, passive forensics approaches are more popular due to their wider application scenario, and have attracted increasing academic and industrial research interests. Generally speaking, passive digital image forensics detects image forgeries based on the fact that there are certain intrinsic patterns in the original image left during image acquisition or storage, or specific patterns in image forgeries left during the image storage or editing. By analyzing the above patterns, the originality of an image can be authenticated. In this paper, a brief review on passive digital image forensic methods is presented in order to provide a comprehensive introduction on recent advances in this rapidly developing research area. These forensics approaches are divided into three categories based on the various kinds of traces they can be used to track—that is, traces left in image acquisition, traces left in image storage, and traces left in image editing. For each category, the forensics scenario, the underlying rationale, and state-of-the-art methodologies are elaborated. Moreover, the major limitations of the current image forensics approaches are discussed in order to point out some possible research directions or focuses in these areas.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherGaodeng Jiaoyu Chubanshe,Higher Education Press
dc.publisher.placeCHina
dc.relation.ispartofpagefrom29
dc.relation.ispartofpageto39
dc.relation.ispartofissue1
dc.relation.ispartofjournalEngineering
dc.relation.ispartofvolume4
dc.subject.fieldofresearchOther information and computing sciences not elsewhere classified
dc.subject.fieldofresearchcode469999
dc.titleRecent Advances in Passive Digital Image Security Forensics: A Brief Review
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dcterms.licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© 2018 The Authors. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorLiew, Alan Wee-Chung


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