Detecting complex copy-move forgery using KeyPoint-Siamese Capsule Network against adversarial attacks
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13042-024-02370-6.pdf
Reference32 articles.
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2. Babu ST, Rao CS (2022) An optimized technique for copy–move forgery localization using statistical features. ICT Express 8(2):244–249
3. Bakas J, Naskar R, Bakshi S (2021) Detection and localization of inter-frame forgeries in videos based on macroblock variation and motion vector analysis. Comput Electr Eng 1(89):106929
4. Bilal M, Habib HA, Mehmood Z, Yousaf RM, Saba T, Rehman A (2021) A robust technique for copy-move forgery detection from small and extremely smooth tampered regions based on the DHE-SURF features and mDBSCAN clustering. Aust J Forensic Sci 53(4):459–482
5. Chhabra P, Garg NK, Kumar M (2020) Content-based image retrieval system using ORB and SIFT features. Neural Comput Appl 32:2725–2733
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