Currently, digital images and videos have high importance because they have become the
main carriers of information. However, the relative ease of tampering with images and …

With the mushroom growth of state‐of‐the‐art digital image and video manipulations tools,
establishing the authenticity of multimedia content has become a challenging issue. Digital …

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 …

A copy-move forgery is created by copying and pasting content within the same image, and
potentially postprocessing it. In recent years, the detection of copy-move forgeries has …

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 …

Understanding if a digital image is authentic or not, is a key purpose of image forensics.
There are several different tampering attacks but, surely, one of the most common and …

This paper proposes a forensic technique to localize duplicated image regions based on
Zernike moments of small image blocks. We exploit rotation invariance properties to reliably …

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 paper, we propose a novel copy-move forgery detection scheme that can accurately
localize duplicated regions with a reasonable computational cost. To this end, a new interest …