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Copy Move Source-Target Disambiguation Through Multi-Branch CNNs
IEEE Transactions on Information Forensics and Security, 2021 We propose a method to identify the source and target regions of a copy-move forgery so allow a correct localisation of the tampered area. First, we cast the problem into a hypothesis testing framework whose goal is to decide which region between the two
Quoc Tin Phan +2 more
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Segmentation-Based Image Copy-Move Forgery Detection Scheme
IEEE Transactions on Information Forensics and Security, 2015 In this paper, we propose a scheme to detect the copy-move forgery in an image, mainly by extracting the keypoints for comparison. The main difference to the traditional methods is that the proposed scheme first segments the test image into semantically ...
Xingming Sun, Xiaolong Li
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Robust and effective multiple copy-move forgeries detection and localization
Pattern Analysis and Applications, 2021Pan-pan Niu, Hong-Ying Yang
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CNN-Transformer Based Generative Adversarial Network for Copy-Move Source/ Target Distinguishment
IEEE Transactions on Circuits and Systems for Video Technology, 2023Guopu Zhu, Ligang Wu, Yicong Zhou
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An Evaluation of Popular Copy-Move Forgery Detection Approaches
IEEE Transactions on Information Forensics and Security, 2012Christian P Riess +2 more
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Evaluation of copy-move forgery detection: datasets and evaluation metrics
Multimedia Tools and Applications, 2018Osamah M Al-Qershi, Bee Ee Khoo
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Copy-move forgery detection: Survey, challenges and future directions
Journal of Network and Computer Applications, 2016Kim-Kwang Raymond Choo +2 more
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Copy-move forgery detection and localization by means of robust clustering with J-Linkage
Signal Processing: Image Communication, 2013Alberto Del Bimbo +2 more
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