In looking to improve the detection performance of the keypoint-based method involving
smooth tampered regions, there are three problems to be addressed, namely the …

Copy-move is one of the most commonly used methods of tampering with digital images.
Keypoint-based detection is recognized as effective in copy-move forgery detection (CMFD) …

Copy-move (region duplication) is one of the most common types of image forgeries, in
which at least one part of an image is copied and pasted onto another area of the same …

Recently, some copy-move forgeries have made use of homogeneous region (s) in an
image with the large-scaling attack (s) to highlight or cover the target objects, which is easy …

The proposed scheme detects the copy–move forgery regions using SIFT, invariant
moments calculation, and the region growing strategy. First, the SIFT-based keypoints are …

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 …

Currently, digital image forgery (DIF) become more active due to the advent of powerful
image processing tools. On a daily, many images are exchanged through the internet, which …

Copy-move is one of the most common image forgeries, wherein one or more region are
copied and pasted within the same image. The motivations of such forgery include hiding an …

Copy-move forgery is one of the most popular tampering artifacts in digital images. Most
existing keypoint-based detection methods may fail to precisely locate duplicated regions …

Copy–move image forgery detection has recently become a very active research topic in
blind image forensics. In copy–move image forgery, a region from some image location is …