A cohesive forgery detection for splicing and copy-paste in digital images

Splicing and copy-paste are popular means of blind digital image manipulation. In this article, a novel identification of composite splicing and copy-paste manipulation is achieved concurrently on the forgery detection standard datasets Extended IMD2020, CASIA v1.0, and CASIA v2.0. An image under su...

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Vydané v:	Multimedia tools and applications Ročník 84; číslo 1; s. 147 - 163
Hlavní autori:	Agarwal, Saurabh, Walia, Savita, Jung, Ki-Hyun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.01.2025 Springer Nature B.V
Predmet:	Algorithms Computer Communication Networks Computer Science Data Structures and Information Theory Digital imaging Discrete cosine transform Forgery Image filters Image manipulation Multimedia Information Systems Special Purpose and Application-Based Systems Support vector machines Bicoherence features Image forensics AKAZE Splicing forgery Copy-paste forgery
ISSN:	1573-7721, 1380-7501, 1573-7721
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