We describe a new forensic technique for distinguishing between computer generated and
human faces in video. This technique identifies tiny fluctuations in the appearance of a face …

Steganalysis and forgery detection in image forensics are generally investigated separately.
We have designed a method targeting the detection of both steganography and seam …

With the advent of sophisticated image editing softwares, it has become easy to forge digital
images. Copy-move is a very common technique for image forgery; retouching tools are …

Camera identification is a well known problem in image forensics, addressing the issue to
identify the camera a digital image has been shot by. In this paper, we pose our attention to …

To discriminate natural images from computer generated graphics, a novel identification
method based on the features of the impact of color filter array (CFA) interpolation on the …

Finite Dirichlet mixture models have proved to be an effective knowledge representation and
inference engine in several machine learning and data mining applications. In this paper …

We present a passive forensics method to distinguish photorealistic computer graphics
(PRCG) from natural images (photographs). The goals of our work are to improve the …

Assessing the visual realism of images is increasingly becoming an essential aspect of
fields ranging from computer graphics (CG) rendering to photo manipulation. In this paper …

A novel identification approach for identifying photographic images (PIM) and photorealistic
computer graphics (PRCG) is proposed by using multifractal spectrum features of photo …

We propose a passive multi-purpose scheme for photographic image (PIM) detection and a
device class identification method. The motivation for the scheme is the periodicity …