The authenticity and reliability of digital images are increasingly important due to the ease in
modifying such images. Thus, the capability to identify image manipulation is a current …

A large number of digital photos are being generated and with the help of advanced image
editing software and image altering tools, it is very easy to manipulate a digital image …

With advanced image journaling tools, one can easily alter the semantic meaning of an
image by exploiting certain manipulation techniques such as copy clone, object splicing …

We present COVERAGE-a novel database containing copy-move forged images and their
originals with similar but genuine objects. COVERAGE is designed to highlight and address …

We propose a new algorithm for the accurate detection and localization of copy-move
forgeries, based on rotation-invariant features computed densely on the image. Dense-field …

Copy-move forgery is one of the most commonly used manipulations for tampering digital
images. Keypoint-based detection methods have been reported to be very effective in …

Image editing techniques enable people to modify the content of an image without leaving
visual traces and thus may cause serious security risks. Hence the detection and localization …

In this paper, we improve the parallel deep neural network (DNN) scheme BusterNet for
image copy-move forgery localization with source/target region distinguishment. BusterNet …

Editing a real-world photo through computer software or mobile applications is one of the
easiest things one can do today before sharing the doctored image on one's social …

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 …