With the rapid progress in recent years, techniques that generate and manipulate
multimedia content can now provide a very advanced level of realism. The boundary …

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 …

In this paper we propose a novel image representation called face X-ray for detecting
forgery in face images. The face X-ray of an input face image is a greyscale image that …

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 …

Evidence plays a vital role in image forensics. If evidence is an image, then its authenticity
verification is the key to image forensics. One of the common forgeries in digital images is …

In this paper, we propose a scheme to detect the copy-move forgery in an image, mainly by
extracting the keypoints for comparison. The main difference to the traditional methods is …

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 …

Detecting and localizing image splicing has become essential to fight against malicious
forgery. A major challenge to localize spliced areas is to discriminate between authentic and …

The advent of high-tech journaling tools facilitates an image to be manipulated in a way that
can easily evade state-of-the-art image tampering detection approaches. The recent …

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 …