In the last years, due to the availability and easy of use of image editing tools, a large
amount of fake and altered images have been produced and spread through the media and …

With the exponential growth of high-quality fake images in social networks and media, it is
necessary to develop recognition algorithms for this type of content. One of the most …

With the technological advancements of the modern era, the easy availability of image
editing tools has dramatically minimized the costs, expense, and expertise needed to exploit …

The rapid proliferation of high-quality false images on social media sites calls for research
on legitimate image recognition systems. Copy-move forgery (CMF), which involves copying …

Computer-generated picture forgery is a growing problem due to the development of easily
available technology that makes the forging procedure very simple. In response, numerous …

The boom of digital images coupled with the development of approachable image
manipulation software has made image tampering easier than ever. As a result, there is …

Deepfake technology allows humans to manipulate images and videos using deep learning
technology. The results from deepfakes are very difficult to distinguish using ordinary vision …

Deepfake refers to the artificial intelligence technology that splices individual sounds, facial
expressions, and body movements into false content with the help of neural network …

Purpose This study aims to solve problems of detecting copy-move images. With input
images, the problem aims to: Confirm the original or forgery of the images, evaluate the …

Image forging is the alteration of a digital image to conceal some of the necessary or helpful
information. It cannot be easy to distinguish the modified region from the original image in …