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

We are currently on a verge of a revolution in digital photography. Developments in
computational imaging and adoption of artificial intelligence have spawned new editing …

Accurate unsupervised tampering localization is one of the most challenging problems in
digital image forensics. In this paper, we consider a photo response non-uniformity analysis …

Recent research found that attacks based on morphed face images, ie, morphing attacks,
pose a severe security risk to face recognition systems. A reliable morphing attack detection …

Graphics editing programs of the last generation provide ever more powerful tools, which
allow for the retouching of digital images leaving little or no traces of tampering. The reliable …

In recent years, many digital devices have been equipped with a video camera that allows
videos to be recorded in good quality, free of charge and without restrictions. Concurrently …

The goal of this paper is to design a statistical test for the camera model identification
problem. The approach is based on the heteroscedastic noise model, which more accurately …

Over the last decade, videos uploaded and shared through web-based multimedia platforms
and mobile applications have proliferated worldwide. This is because cloud-based …

Although sensor pattern noise (SPN) has been proved to be an effective means to uniquely
identify digital cameras, some non-unique artifacts, shared among cameras undergo the …

Photo response non-uniformity (PRNU) noise is a sensor pattern noise characterizing the
imaging device. It has been broadly used in the literature for source camera identification …