Tampered Image

Tampered image detection focuses on identifying manipulated images, encompassing various forms of alteration like splicing, inpainting, and AI-generated content. Current research emphasizes developing robust detection methods that are resilient to post-processing techniques and capable of distinguishing between authentic and synthetic images, often employing deep learning architectures like VAEs and transformers, along with contrastive learning approaches. This field is crucial for maintaining information integrity and combating the spread of misinformation, with implications for digital forensics, media authentication, and the broader fight against malicious image manipulation.