Accurate unsupervised tampering localization is one of the most challenging problems in
digital image forensics. In this paper, we consider a photo response non-uniformity analysis …

Entropy (H) is the main subject of this article, concisely written to serve as a tutorial
introducing two feature extraction (FE) methods for usage in digital signal processing (DSP) …

In this paper, we propose to utilize Convolutional Neural Networks (CNNs) and the
segmentation-based multi-scale analysis to locate tampered areas in digital images. First, to …

Over the past decade, many efforts have been made in passive image forensics. Although it
is able to detect tampered images at high accuracies based on some carefully designed …

With the increasing prevalent of digital devices and their abuse for digital content creation,
forgeries of digital images and video footage are more rampant than ever. Digital forensics is …

Nowadays, image manipulation is common due to the availability of image processing
software, such as Adobe Photoshop or GIMP. The original image captured by digital camera …

Moving away from hand-crafted feature extraction, the use of data-driven convolution neural
network (CNN)-based algorithms facilitates the realization of end-to-end automated forgery …

In the multimedia arena, image tampering is an uncontrollable process that necessitates
content authentication and tamper detection in a variety of applications. One method that is …

This paper provides a comprehensive analysis of the following optimization problem:
Maximize the entropy rate generated by a Markov chain over a connected graph of order n …

Random walks are a fundamental tool for analyzing realistic complex networked systems
and implementing randomized algorithms to solve diverse problems such as searching and …