The data that is stored or transmitted in digital form is susceptible to be attacked. Digital
images are particularly vulnerable to unauthorized access and illicit alterations. As a result …

With the large chunks of social media data being created daily and the parallel rise of
realistic multimedia tampering methods, detecting and localising tampering in images and …

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) …

Copyright infringement adversely affects the interest of copyright holders of images and
videos which are uploaded to different websites and peer-to-peer image sharing systems …

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 …

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 …

Image quality assessment (IQA) is an important task of image processing and has diverse
applications, such as image super-resolution reconstruction, image transmission and …

In this paper, a novel perceptual image hashing scheme based on convolutional neural
network (CNN) with multiple constraints is proposed, in which our deep hashing network …

Perceptual hashing is widely used to search or match similar images for digital forensics and
cybercrime study. Unfortunately, the robustness of perceptual hashing algorithms is not well …

Image copy detection is an important technology of copyright protection. This paper
proposes an efficient hashing method for image copy detection using 2D-2D (two-directional …