AMSEANet: An Edge-Guided Adaptive Multi-Scale Network for Image Splicing Detection and Localization. [PDF]
Yang Y +5 more
europepmc +1 more source
SFTA-Net: a self-supervised approach to detect copy-move and splicing forgery to leverage triplet loss, auxiliary loss, and spatial attention. [PDF]
Alabrah A.
europepmc +1 more source
EFIMD-Net: Enhanced Feature Interaction and Multi-Domain Fusion Deep Forgery Detection Network. [PDF]
Cheng H +5 more
europepmc +1 more source
Copy-move forgery detection in digital images [PDF]
The ready availability of image-editing software makes it important to ensure the authenticity of images. This thesis concerns the detection and localization of cloning, or Copy-Move Forgery (CMF), which is the most common type of image tampering, in which part(s) of the image are copied and pasted back somewhere else in the same image. Post-processing
openaire
Multi-resolution transfer learning for tampered image classification using SE-enhanced fused-MBConv and optimized CNN heads. [PDF]
Korsipati JR +4 more
europepmc +1 more source
Blind Approach for Digital Image Forgery Detection
Arun Yadav, Kavita Singh, Tulsi Thakur
openaire +1 more source
Hybridization-encoded DNA tags with paper-based readout for anti-forgery raw material tracking. [PDF]
Li J +15 more
europepmc +1 more source
MSCSCC-Net: multi-scale contextual spatial-channel correlation network for forgery detection and localization of JPEG-compressed image. [PDF]
Shan W, Yue J, Ding SX, Qiu J.
europepmc +1 more source
DFST-UNet: Dual-Domain Fusion Swin Transformer U-Net for Image Forgery Localization. [PDF]
Yang J, Xie A, Mai T, Chen Y.
europepmc +1 more source
CMV2U-Net: A U-shaped network with edge-weighted features for detecting and localizing image splicing. [PDF]
Akram A +4 more
europepmc +1 more source

