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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Published in:	Multimedia tools and applications Vol. 84; no. 1; pp. 147 - 163
Main Authors:	Agarwal, Saurabh, Walia, Savita, Jung, Ki-Hyun
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.01.2025 Springer Nature B.V
Subjects:	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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Abstract	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 supervision is taken first, and texture-based Orientation Invariant Local Binary Pattern (OILBP) features are extricated using the Discrete Cosine Transform. The proposed technique uses an SVM classifier to decide whether the input image is spliced. Also, the proposed algorithm can check for copy-paste forgery in the image when not spliced. For copy-paste detection, Accelerated-KAZE (AKAZE) features are used to locate the replicated regions in the image. There is a copy-move forgery in the image to be discovered when the features match after post-processing filtering. Otherwise, the image is authentic. Experimental results illustrate that the performance of the proposed approach is improved than previous works. One of the significant advantages is that two types of forgeries can be detected simultaneously using the proposed cohesive approach.
AbstractList	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 supervision is taken first, and texture-based Orientation Invariant Local Binary Pattern (OILBP) features are extricated using the Discrete Cosine Transform. The proposed technique uses an SVM classifier to decide whether the input image is spliced. Also, the proposed algorithm can check for copy-paste forgery in the image when not spliced. For copy-paste detection, Accelerated-KAZE (AKAZE) features are used to locate the replicated regions in the image. There is a copy-move forgery in the image to be discovered when the features match after post-processing filtering. Otherwise, the image is authentic. Experimental results illustrate that the performance of the proposed approach is improved than previous works. One of the significant advantages is that two types of forgeries can be detected simultaneously using the proposed cohesive approach. 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 supervision is taken first, and texture-based Orientation Invariant Local Binary Pattern (OILBP) features are extricated using the Discrete Cosine Transform. The proposed technique uses an SVM classifier to decide whether the input image is spliced. Also, the proposed algorithm can check for copy-paste forgery in the image when not spliced. For copy-paste detection, Accelerated-KAZE (AKAZE) features are used to locate the replicated regions in the image. There is a copy-move forgery in the image to be discovered when the features match after post-processing filtering. Otherwise, the image is authentic. Experimental results illustrate that the performance of the proposed approach is improved than previous works. One of the significant advantages is that two types of forgeries can be detected simultaneously using the proposed cohesive approach.
Author	Agarwal, Saurabh Jung, Ki-Hyun Walia, Savita
Author_xml	– sequence: 1 givenname: Saurabh surname: Agarwal fullname: Agarwal, Saurabh organization: Department of Software Convergence, Andong National University, Department of Information and Communication Engineering, Yeungnam University – sequence: 2 givenname: Savita surname: Walia fullname: Walia, Savita organization: Chitkara University Institute of Engineering and Technology, Chitkara University – sequence: 3 givenname: Ki-Hyun orcidid: 0000-0002-0662-8355 surname: Jung fullname: Jung, Ki-Hyun email: kingjung@anu.ac.kr organization: Department of Software Convergence, Andong National University
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References	Z He (18154_CR24) 2012; 45 J Wang (18154_CR40) 2020; 14 S Walia (18154_CR3) 2019; 51 S Kumar (18154_CR31) 2022; 89 18154_CR22 H Bay (18154_CR33) 2008; 110 S Agarwal (18154_CR21) 2015; 10 S Walia (18154_CR25) 2021; 9 M Kaur (18154_CR11) 2016; 11 18154_CR2 18154_CR27 S Wang (18154_CR35) 2012; 9 C Li (18154_CR44) 2017; 228 18154_CR9 DG Lowe (18154_CR32) 2004; 60 A Rajab (18154_CR20) 2019; 22 KT Huynh (18154_CR45) 2022; 18 18154_CR8 18154_CR5 N Bakiah (18154_CR6) 2016; 75 X Zhao (18154_CR18) 2015; 25 G Muhammad (18154_CR42) 2014; 25 EM El-alfy (18154_CR17) 2015; 18 M Hussain (18154_CR16) 2015; 24 R Wang (18154_CR39) 2018; 10 Z Zhang (18154_CR4) 2008; 5226 DS Vidyadharan (18154_CR19) 2017; 32 D Zhao (18154_CR26) 2022; 11 X Lin (18154_CR14) 2019; 139 A Alahmadi (18154_CR13) 2017; 11 18154_CR12 18154_CR15 A Haouzia (18154_CR1) 2008; 39 18154_CR36 18154_CR38 C Pun (18154_CR10) 2016; 38 Y Chen (18154_CR43) 2022; 107 A Novozámský (18154_CR37) 2021; 10 V Christlein (18154_CR7) 2012; 7 T Mahmood (18154_CR29) 2017; 279 PF Alcantarilla (18154_CR34) 2012; 7577 SM Fadl (18154_CR30) 2017; 265 X Wang (18154_CR41) 2022; 89 JG Han (18154_CR23) 2016; 25 J Deng (18154_CR28) 2018; 12
References_xml	– volume: 5226 start-page: 1103 year: 2008 ident: 18154_CR4 publication-title: Adv Intell Comput Theor Appl Aspects Theor Methodol Issues – volume: 75 start-page: 259 year: 2016 ident: 18154_CR6 publication-title: J Netw Comput Appl doi: 10.1016/j.jnca.2016.09.008 – volume: 107 year: 2022 ident: 18154_CR43 publication-title: Signal Process Image Commun doi: 10.1016/j.image.2022.116785 – volume: 51 start-page: 488 issue: 5 year: 2019 ident: 18154_CR3 publication-title: Australian J Forensic Sci doi: 10.1080/00450618.2018.1424241 – ident: 18154_CR12 doi: 10.1109/CVPR.2005.125 – volume: 10 start-page: 392 issue: 4 year: 2021 ident: 18154_CR37 publication-title: IET Biom doi: 10.1049/bme2.12025 – volume: 265 start-page: 57 year: 2017 ident: 18154_CR30 publication-title: Neurocomputing doi: 10.1016/j.neucom.2016.11.091 – ident: 18154_CR22 doi: 10.1007/978-981-10-2738-3 – volume: 279 start-page: 8 year: 2017 ident: 18154_CR29 publication-title: Forensic Sci Int doi: 10.1016/j.forsciint.2017.07.037 – volume: 10 start-page: 78 year: 2015 ident: 18154_CR21 publication-title: Int J Image Graphics Signal Process doi: 10.5815/ijigsp.2015.10.08 – volume: 22 start-page: 647 year: 2019 ident: 18154_CR20 publication-title: Cluster Comput doi: 10.1007/s10586-017-1668-8 – volume: 7577 start-page: 214 year: 2012 ident: 18154_CR34 publication-title: Lect Notes Comput Sci doi: 10.1007/978-3-642-33783-3_16 – ident: 18154_CR2 doi: 10.1109/ICIIP.2015.7414785 – volume: 38 start-page: 195 year: 2016 ident: 18154_CR10 publication-title: J Vis Commun Image Represent doi: 10.1016/j.jvcir.2016.03.005 – volume: 25 start-page: 185 issue: 2 year: 2015 ident: 18154_CR18 publication-title: IEEE Trans Circuits Syst Video Technol doi: 10.1109/TCSVT.2014.2347513 – volume: 9 start-page: 99742 year: 2021 ident: 18154_CR25 publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3096240 – volume: 89 year: 2022 ident: 18154_CR31 publication-title: J Vis Commun Image Represent doi: 10.1016/j.jvcir.2022.103644 – volume: 18 start-page: 181 issue: 2 year: 2022 ident: 18154_CR45 publication-title: Int J Web Inform Syst doi: 10.1108/IJWIS-04-2022-0088 – ident: 18154_CR8 doi: 10.1109/ICME.2007.4285009 – volume: 11 start-page: 37 issue: 4 year: 2016 ident: 18154_CR11 publication-title: Int J Multimed Ubiquitous Eng doi: 10.14257/ijmue.2016.11.4.05 – ident: 18154_CR5 – volume: 39 start-page: 1 issue: 1 year: 2008 ident: 18154_CR1 publication-title: Multimed Tools Appl doi: 10.1007/s11042-007-0154-3 – volume: 24 start-page: 416 issue: 4 year: 2015 ident: 18154_CR16 publication-title: Int J Artif Intell Tools doi: 10.1142/s0218213015400163 – volume: 139 start-page: 61 year: 2019 ident: 18154_CR14 publication-title: Measurement doi: 10.1016/j.measurement.2019.02.086 – ident: 18154_CR9 – ident: 18154_CR15 doi: 10.1109/INISTA.2014.6873618 – volume: 14 start-page: 2981 issue: 7 year: 2020 ident: 18154_CR40 publication-title: KSII Trans Internet Inf Syst doi: 10.3837/tiis.2020.07.014 – volume: 32 start-page: 3177 issue: 4 year: 2017 ident: 18154_CR19 publication-title: J Intell Fuzzy Syst doi: 10.3233/JIFS-169261 – volume: 45 start-page: 4292 year: 2012 ident: 18154_CR24 publication-title: Pattern Recognit doi: 10.1016/j.patcog.2012.05.014 – ident: 18154_CR36 doi: 10.1109/ChinaSIP.2013.6625374 – volume: 25 start-page: 1 issue: 2 year: 2016 ident: 18154_CR23 publication-title: J Electron Imaging doi: 10.1117/1.JEI.25.2.023031 – volume: 89 start-page: 103658 issue: February year: 2022 ident: 18154_CR41 publication-title: J Vis Commun Image Represent doi: 10.1016/j.jvcir.2022.103658 – volume: 25 start-page: 985 issue: 4 year: 2014 ident: 18154_CR42 publication-title: Mach Vis Appl doi: 10.1007/s00138-013-0547-4 – volume: 11 start-page: 81 issue: 1 year: 2017 ident: 18154_CR13 publication-title: Signal Image Video Process doi: 10.1007/s11760-016-0899-0 – volume: 10 start-page: 90 issue: 4 year: 2018 ident: 18154_CR39 publication-title: Int J Digit Crime Forensics doi: 10.4018/IJDCF.2018100107 – ident: 18154_CR38 doi: 10.1109/ICACTM.2019.8776709 – volume: 18 start-page: 713 year: 2015 ident: 18154_CR17 publication-title: Pattern Anal Appl doi: 10.1007/s10044-014-0396-4 – volume: 60 start-page: 91 issue: 2 year: 2004 ident: 18154_CR32 publication-title: Int J Comput Vision doi: 10.1023/B:VISI.0000029664.99615.94 – volume: 228 start-page: 29 year: 2017 ident: 18154_CR44 publication-title: Neurocomputing doi: 10.1016/j.neucom.2016.04.068 – ident: 18154_CR27 doi: 10.1109/ICIP.2014.7026075 – volume: 12 start-page: 4467 issue: 9 year: 2018 ident: 18154_CR28 publication-title: KSII Trans Internet Inf Syst doi: 10.3837/tiis.2018.09.019 – volume: 11 start-page: 1 issue: 16 year: 2022 ident: 18154_CR26 publication-title: Electronics (Switzerland) doi: 10.3390/electronics11162621 – volume: 7 start-page: 1841 issue: 6 year: 2012 ident: 18154_CR7 publication-title: IEEE Trans Inf Forensics Secur doi: 10.1109/TIFS.2012.2218597 – volume: 110 start-page: 346 year: 2008 ident: 18154_CR33 publication-title: Comput Vis Image Underst doi: 10.1016/j.cviu.2007.09.014 – volume: 9 start-page: 649 issue: 4 year: 2012 ident: 18154_CR35 publication-title: IEEE Geosci Remote Sens Lett doi: 10.1109/LGRS.2011.2177437
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Snippet	Splicing and copy-paste are popular means of blind digital image manipulation. In this article, a novel identification of composite splicing and copy-paste... Splicing and copy-paste are popular means of blind digital image manipulation. In this article, a novel identification of composite splicing and copy-paste...
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SubjectTerms	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
Title	A cohesive forgery detection for splicing and copy-paste in digital images
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