The increasing popularity of social media promotes the proliferation of fake news, which has
caused significant negative societal effects. Therefore, fake news detection on social media …

Today manipulation of digital images has become easy due to powerful computers,
advanced photo-editing software packages and high resolution capturing devices. Verifying …

Detecting a splicing forgery image and then locating the forgery regions is a challenging
task. Some traditional feature extraction methods and convolutional neural network (CNN) …

This paper proposes a splicing forgery detection method with two parts: a coarse-to-refined
convolutional neural network (C2RNet) and diluted adaptive clustering. The proposed …

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 …

With the proliferation of smartphones and social media, journalistic practices are
increasingly dependent on information and images contributed by local bystanders through …

With the invention of new communication technologies, new features and facilities are
provided in a smart healthcare framework. The features and facilities aim to provide a …

In this paper, a novel image forgery detection method is proposed based on the steerable
pyramid transform (SPT) and local binary pattern (LBP). First, given a color image, we …

With the development of easy-to-use and sophisticated image editing software, the alteration
of the contents of digital images has become very easy to do and hard to detect. A digital …

The detection and location of image splicing forgery are a challenging task in the field of
image forensics. It is to study whether an image contains a suspicious tampered area pasted …