Image and Video Forgery Detection

Image and video forgery detection is a crucial branch of computer vision, aiming to identify and verify the authenticity and integrity of digital images and videos by analyzing their abnormal features. The goal of this technology is to detect content that has been tampered with, synthesized, or forged, in order to prevent the spread of false information. Its application value is extensive, including the verification of the truthfulness of news media, improving the accuracy of forensic evidence in legal proceedings, and enhancing cybersecurity.