Open access
Jul 2026
Multi-Modal Deep Learning for Image Forgery Detection: A Synergistic Fusion Approach Combining Visual Artifacts and Metadata Consistency Analysis
These findings show that complementary visual and metadata cues are much more useful in detection, while the use of a lightweight backbone enables efficient, high-throughput forensic analysis suitable for real-world deployment.
Baysah Guwor, Mohammad Shabaz
· Multimedia · 0 citations