With the rapid progress in recent years, techniques that generate and manipulate
multimedia content can now provide a very advanced level of realism. The boundary …

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 …

Forensic analyses of digital images rely heavily on the traces of in-camera and out-camera
processes left on the acquired images. Such traces represent a sort of camera fingerprint. If …

Advances in photo editing and manipulation tools have made it significantly easier to create
fake imagery, highlighting the need for better visual forensics algorithms. However, learning …

In the last years, due to the availability and easy of use of image editing tools, a large
amount of fake and altered images have been produced and spread through the media and …

Perceptual hashing is used for multimedia content identification and authentication through
perception digests based on the understanding of multimedia content. This paper presents a …

Due to limited computational and memory resources, current deep learning models accept
only rather small images in input, calling for preliminary image resizing. This is not a …

Recent advancements in language-image models have led to the development of highly
realistic images that can be generated from textual descriptions. However, the increased …

In this paper, we propose to utilize Convolutional Neural Networks (CNNs) and the
segmentation-based multi-scale analysis to locate tampered areas in digital images. First, to …

In this paper, a novel image forgery detection and localization scheme is proposed based on
deep convolutional neural network (CNN) which incorporates multi-semantic CRF-based …