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

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 …

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 …

The emergence of powerful image editing software has substantially facilitated digital image
tampering, leading to many security issues. Hence, it is urgent to identify tampered images …

Due to the rapid proliferation of image capturing devices and user-friendly editing software
suites, image manipulation is at everyone's hand. For this reason, the forensic community …

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 …

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 …

For decades, photographs have been used to document space-time events and they have
often served as evidence in courts. Although photographers are able to create composites of …

This paper proposes a forensic technique to localize duplicated image regions based on
Zernike moments of small image blocks. We exploit rotation invariance properties to reliably …