FI-SURF algorithm for image copy-flip-move forgery detection
Tongxin xuebao, 2015 FI-SURF (flip invariant SURF) algorithm was proposed,for the consideration of the copy-move forgery detec-tion of digital images.The arrangement of the SURF (speeded-up robust features) descriptor after image flip was studied.After extract the SURF ...
IYan L +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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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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Robust Detection and Localization of Image Copy-Move Forgery Using Multi-Feature Fusion. [PDF]
J ImagingLu K, Zhang Q.
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Seam Carving Forgery Detection Through Multi-Perspective Explainable AI. [PDF]
J ImagingNeves MJD +5 more
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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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Robust deepfake detector against deep image watermarking. [PDF]
PLoS OneYu J, Liu X, Zan F, Peng Y.
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Multiple contexts and frequencies aggregation network for deepfake detection. [PDF]
PLoS OneLi Z, Tang W, Gao S, Wang Y, Wang S.
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Frequency domain manipulation of multiple copy-move forgery in digital image forensics. [PDF]
PLoS OneQazi T +5 more
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Digital image forgery detection techniques: a survey
ACCENTS Transactions on Information Security, 2016 Shwetha B, S V Sathyanarayana
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