Comprehensive analyses of image forgery detection methods from traditional to deep learning approaches: an evaluation. [PDF]
Multimed Tools Appl, 2023 Sharma P, Kumar M, Kumar M, Sharma H.
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An image forensic technique based on JPEG ghosts. [PDF]
Multimed Tools Appl, 2023 Singh D +3 more
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The Optimal Model for Copy-Move Forgery Detection in Medical Images. [PDF]
J Med Signals SensAmiri E, Mosallanejad A, Sheikhahmadi A.
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CFDMI-SEC: An optimal model for copy-move forgery detection of medical image using SIFT, EOM and CHM. [PDF]
PLoS OneAmiri E, Mosallanejad A, Sheikhahmadi A.
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A robust semi-fragile watermarking system using Pseudo-Zernike moments and dual tree complex wavelet transform for social media content authentication. [PDF]
Multimed Tools Appl, 2023 Agilandeeswari L +2 more
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A hybrid model for image forgery detection using deep learning with block and keypoint methods. [PDF]
Sci RepMehrjardi FZ, Zarchi MS.
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Hybrid framework for image forgery detection and robustness against adversarial attacks using vision transformer and SVM. [PDF]
Sci RepAbdelmaksoud M +3 more
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MFAN: Multi-Level Features Attention Network for Fake Certificate Image Detection. [PDF]
Entropy (Basel), 2022 Sun Y, Ni R, Zhao Y.
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Multi-resolution transfer learning for tampered image classification using SE-enhanced fused-MBConv and optimized CNN heads. [PDF]
Sci RepKorsipati JR +4 more
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CNN-based Approach for Robust Detection of Copy-Move Forgery in Images
Inteligencia ArtificialWith the rise of high-quality forged images on social media and other platforms, there is a need for algorithms that can recognize the originality. Detecting copy-move forgery is essential for ensuring the authenticity and integrity of digital images ...
Arivazhagan S +3 more
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