Image forgery detection and forensics constitute a rapidly evolving field that seeks to preserve the integrity of digital imagery by identifying and localising manipulations.

📁 Dataset Source: Kaggle Historic Art Dataset Size: 45,000+ artworks with metadata and image files. Core attributes: artist, title, period, nationality, base, image_path.

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 ...

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 ...

Summary <p>In today's digital world, image forgery detection in drone&#x2010;captured images is challenging due to noise, motion blur, and other factors unique to aerial photography. The research ...