Development and exploitation of technology have led to the further expansion and
complexity of digital crimes. On the other hand, the growing volume of data and …

In recent years, the manipulation of digital images can be done with relative ease. This can
be attributed to the technological advancement in the field of computing specifically with …

In this paper, a novel image splicing detection and localization scheme is proposed based
on the local feature descriptor which is learned by deep convolutional neural network …

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) …

Forensic analysis of manipulated pixels requires the identification of various hidden and
subtle features from images. Conventional image recognition models generally fail at this …

As digital image forgery can be alarmingly detrimental, therefore, an insight into detection
and classification of tampered digital images is of paramount importance. Without …

Microblogging applications are currently used to disseminate information with concise text
and images. Nevertheless, they are also the largest platform for circulating forged images …

In the arena of image forensics, detecting manipulations in an image is extremely significant
because of the use of images in different fields. Various detection techniques have been …

Detection and localization of image manipulations are becoming of increasing interest to
researchers in recent years due to the significant rise of malicious contentchanging image …

Recently, many detection methods based on convolutional neural networks (CNNs) have
been proposed for image splicing forgery detection. Most of these detection methods focus …