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

In this paper, a novel set of features based on Quaternion Wavelet Transform (QWT) is
proposed for digital image forensics. Compared with Discrete Wavelet Transform (DWT) and …

In this paper, a novel forensics scheme for color image is proposed in color quaternion
wavelet transform (CQWT) domain. Compared with discrete wavelet transform (DWT) …

Discriminating between computer-generated images (CGIs) and photographic images (PIs)
is not a new problem in digital image forensics. However, with advances in rendering …

Today's advanced multimedia tools allow us to create photorealistic computer graphic
images, effortlessly. There are various fields such as the film industry, virtual reality, video …

With advances in rendering techniques and generative adversarial networks, computer-
generated (CG) images tend to be indistinguishable from photographic (PG) images …

Aiming at the identification of natural images and computer generated graphics, an image
source pipeline forensics method based on binary similarity measures of PRNU (photo …

Uses of digital images have increased multifold in last few years in various important fields
such as virtual reality, gaming, social media, magazine, news papers, medical, legal issues …

The advent in graphic rendering software and technological progress in hardware can
generate or modify photorealistic computer graphic (CG) images that are difficult to identify …

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 …