With the advent of Internet, images and videos are the most vulnerable media that can be
exploited by criminals to manipulate for hiding the evidence of the crime. This is now easier …

随着数字图像篡改技术不断的革新换代, 传统的取证方法已经无法对抗最新的多媒体篡改手段和
技术, 尤其是深度造假及深度学习技术带来的全新挑战. 总结提炼了包括图像预处理模块 …

In this age of digitization, digital images are used as a prominent carrier of visual
information. Images are becoming increasingly ubiquitous in everyday life. Unprecedented …

With the prevalence of adopting data-driven convolution neural network (CNN)-based
algorithms into the community of digital image forensics, some novel supervised classifiers …

Recently, the generative adversarial networks (GANs) generated images have been spread
over the social networks, which brings the new challenge in the community of media …

The problem of authenticating a re-sampled image has been investigated over many years.
Currently, however, little research proposes a statistical model-based test, resulting in that …

To deal with the problem of image forgery detection, many forensic tools have been
proposed. Most existing tools perform efficiently in a supervised scenario with a large …

Modern adaptive image steganography with minimizing a distortion function has high
performance of undetectability. However, when an image with hidden information is attacked …

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 …

It is necessary to perform fog removal from an image based on the estimation of depth to
increase the visibility of a scene. In this paper, we propose a new algorithm to eradicate fog …