The basis of image forensics is passive image forgery detection. Passive forgeries such as image splicing, copy-move, and retouching are often used techniques that compromise the authenticity of an ...

In today's world where digital images are used everywhere confirming their truthfulness and validating its visual evidence has gained significant importance. One common form of image tampering is copy ...

Image forgery detection techniques have evolved into a sophisticated field that spans traditional methods and state‐of‐the‐art deep learning approaches. Researchers focus on identifying ...

TDK Corporation unveiled the latest TDK SensEI product line, edgeRX Vision. edgeRX Vision is a high-speed defect detection ...

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THERE is a possibility that Washington’s 90-day pause on higher tariffs would be extended, given that there are still around 50 negotiating deals pending on the US negotiating table, according ...

ForgeLens: Data-Efficient Forgery Focus for Generalizable Forgery Image Detection [ICCV 2025] ForgeLens is a data-efficient, feature-guided CLIP-ViT framework for detecting AI-generated images with ...

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Contribute to Sushruthashan/Image-Forgery-Detection-using-CNN-and-Semantic-Segmentation development by creating an account on GitHub.