We are currently on a verge of a revolution in digital photography. Developments in
computational imaging and adoption of artificial intelligence have spawned new editing …

Digital image acquisition is now a simple task and information in the form of digital images is
drastically increasing on social media, which has both positive and negative impacts on a …

We introduce a novel deep neural architecture for image copy-move forgery detection
(CMFD), code-named BusterNet. Unlike previous eorts, BusterNet is a pure, end-to-end …

Images can be manipulated for nefarious purposes to hide content or to duplicate certain
objects through copy-move operations. Discovering a well-crafted copy-move forgery in …

In copy-move forgery, the illumination and contrast of tampered and genuine regions are
highly consistent, which poses a greater challenge in copy-move forgery detection. In this …

With the advent of powerful image editing tools, manipulating images and changing their
content is becoming a trivial task. Now, you can add, change or delete significant information …

In this era of technology, digital images turn out to be ubiquitous in a contemporary society
and they can be generated and manipulated by a wide variety of hardware and software …

The advent of digital era has seen a rise in the cases of illegal copying, distribution and
forging of images. Even the most secure data channels sometimes suffer to validate the …

In this paper, for the first time, we introduce a new end-to-end deep neural network
predicting forgery masks to the image copy-move forgery detection problem. Specifically, we …

The increasing popularity of digital media and media editing software has led to widespread
tampering of multimedia files for malicious purposes. The most common form of tampering …