DFST-UNet: Dual-Domain Fusion Swin Transformer U-Net for Image Forgery Localization. [PDF]
Entropy (Basel)Yang J, Xie A, Mai T, Chen Y.
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Multi-label classification for image tamper detection based on Swin-T segmentation network in the spatial domain. [PDF]
PeerJ Comput SciLi L, Zhang K, Lu J, Zhang S.
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MSCSCC-Net: multi-scale contextual spatial-channel correlation network for forgery detection and localization of JPEG-compressed image. [PDF]
Sci RepShan W, Yue J, Ding SX, Qiu J.
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Enhanced image-splicing classification: A resilient and scale-invariant approach utilizing edge-weighted local texture features. [PDF]
J Forensic SciAkram A +5 more
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A multi-model feature fusion based transfer learning with heuristic search for copy-move video forgery detection. [PDF]
Sci RepAlfraihi H +7 more
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A custom hash algorithm for hosting secure gray scale image repository in public cloud. [PDF]
Sci RepMurugesan V +2 more
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Data trace as the scientific foundation for trusted metrological data: a review for future metrology direction. [PDF]
PeerJ Comput SciCao Z +5 more
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A robust fragile watermarking approach for image tampering detection and restoration utilizing hybrid transforms. [PDF]
Sci RepVaidya SP +6 more
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Image Forensics in the Encrypted Domain. [PDF]
Entropy (Basel)Yu Y, Lu Y, Li L, Chen F, Yan X.
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CMV2U-Net: A U-shaped network with edge-weighted features for detecting and localizing image splicing. [PDF]
J Forensic SciAkram A +5 more
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