Seeing is not believing anymore. Different techniques have brought to our fingertips the
ability to modify an image. As the difficulty of using such techniques decreases, lowering the …

Today manipulation of digital images has become easy due to powerful computers,
advanced photo-editing software packages and high resolution capturing devices. Verifying …

The free access to large-scale public databases, together with the fast progress of deep
learning techniques, in particular Generative Adversarial Networks, have led to the …

Identifying the authenticity and processing history of an image is an important task in
multimedia forensics. By analyzing traces left by different image manipulations, researchers …

When creating a forgery, a forger can modify an image using many different image editing
operations. Since a forensic examiner must test for each of these, significant interest has …

Abstract People increasingly use Social Media (SM) platforms such as Twitter and Facebook
during disasters and emergencies to post situational updates including reports of injured or …

Local descriptors based on the image noise residual have proven extremely effective for a
number of forensic applications, like forgery detection and localization. Nonetheless …

Detecting and localizing image splicing has become essential to fight against malicious
forgery. A major challenge to localize spliced areas is to discriminate between authentic and …

To ensure the actual presence of a real legitimate trait in contrast to a fake self-manufactured
synthetic or reconstructed sample is a significant problem in biometric authentication, which …

The aim of this survey is to provide a comprehensive overview of the state of the art in the
area of image forensics. These techniques have been designed to identify the source of a …