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 …

The advent of Generative Adversarial Networks (GANs) has brought about completely novel
ways of transforming and manipulating pixels in digital images. GAN based techniques such …

The diffusion of fake images and videos on social networks is a fast growing problem.
Commercial media editing tools allow anyone to remove, add, or clone people and objects …

This paper presents a deep-learning method for distinguishing computer generated
graphics from real photographic images. The proposed method uses a Convolutional Neural …

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 …

Image forensics is an investigation of digital images to identify manipulations that have been
done on them. Nowadays, due to the availability of different low-cost devices for capturing …

Digital images are everywhere—from our cell phones to the pages of our online news sites.
How we choose to use digital image processing raises a surprising host of legal and ethical …

Verifying the integrity of digital images and detecting the traces of tampering without using
any protecting pre-extracted or pre-embedded information have become an important and …

In this paper, we introduce tamper detection techniques based on artifacts created by color
filter array (CFA) processing in most digital cameras. The techniques are based on …