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 …

Distinguishing between natural images (NIs) and computer-generated (CG) images by
naked human eyes is difficult. In this paper, we propose an effective method based on a …

The recent computer graphics developments have upraised the quality of the generated
digital content, astonishing the most skeptical viewer. Games and movies have taken …

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 …

In this letter, a deep-learning-based pipeline is proposed to distinguish photographics (PGs)
from computer-graphics (CGs) combining convolutional neural network (CNN) and recurrent …

Image sharpening is a basic digital image processing scheme utilized to pursue better
image visual quality. From image forensics point of view, revealing the processing history is …

The paper presents a novel technique in the field of image forensics. The proposed
algorithm is able to differentiate between computer generated images (CGIs), natural …

The Encyclopedia of Image Processing presents a vast collection of well-written articles
covering image processing fundamentals (eg color theory, fuzzy sets, cryptography) and …

Measuring visual quality, as perceived by human observers, is becoming increasingly
important in a large number of applications where humans are the ultimate consumers of …