Machine Learning-Based Image Forgery Detection Using Light Gradient-Boosting Machine
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9037-5_35
Reference15 articles.
1. Al_Azrak FM, Sedik A, Dessowky MI, El Banby GM, Khalaf AAM, Elkorany AS, El-Samie FEA (2019) An efficient method for image forgery detection based on trigonometric transforms and deep learning. Multimedia Tools Appl 79:18221–18243
2. Lee SI, Park JY, Eom IK (2022) CNN-based copy-move forgery detection using rotation-invariant wavelet feature. IEEE Access 10:106217–106229
3. Ferreira WF, Ferreira CBR, da Cruz Júnior G, Soares F (2020) A review of digital image forensics. Comput Electr Eng 85, art no 106685
4. Thakur R, Rohilla R (2020) Recent advances in digital image manipulation detection techniques: a brief review. Forensic Sci Int 312, art no 110311
5. Mitra A, Mohanty SP, Corcoran P, Kougianos E (2021) A machine learning-based approach for deep fake detection in social media through key video frame extraction. SN Comput Sci 2:1–18
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