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 …

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

Training a single deep blind model to handle different quality factors for JPEG image
artifacts removal has been attracting considerable attention due to its convenience for …

In this work, we propose a technique that utilizes a fully convolutional network (FCN) to
localize image splicing attacks. We first evaluated a single-task FCN (SFCN) trained only on …

Due to the wide diffusion of JPEG coding standard, the image forensic community has
devoted significant attention to the development of double JPEG (DJPEG) compression …

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 …

We are undoubtedly living in an age where we are exposed to a remarkable array of visual
imagery. While we may have historically had confidence in the integrity of this imagery …

Witnessing impressive results of deep nets in a number of computer vision problems, the
image forensic community has begun to utilize them in the challenging domain of detecting …

In recent decades, we have witnessed the evolution of information technologies from the
development of VLSI technologies, to communication and networking infrastructure, to the …

In this paper, we propose a forensic algorithm to discriminate between original and forged
regions in JPEG images, under the hypothesis that the tampered image presents a double …