A New Benchmark and Model for Challenging Image Manipulation Detection

arXiv:2311.14218v2 Announce Type: replace
Abstract: The ability to detect manipulation in multimedia data is vital in digital forensics. Existing Image Manipulation Detection (IMD) methods are mainly based on detecting anomalous features arisen from image editing or double compression artifacts. All existing IMD techniques encounter challenges when it comes to detecting small tampered regions from a large image. Moreover, compression-based IMD approaches face difficulties in cases of double compression of identical quality factors. To investigate the State-of-The-Art (SoTA) IMD methods in …

abstract arxiv benchmark challenges compression cs.cv data detection digital digital forensics editing features forensics image manipulation multimedia type vital