Many forensic techniques have recently been developed to determine whether an image
has undergone a specific manipulation operation. When multiple consecutive operations are …

Training a single deep blind model to handle different quality factors for JPEG image
artifacts removal has been attracting considerable attention due to its convenience for …

Due to the wide diffusion of JPEG coding standard, the image forensic community has
devoted significant attention to the development of double JPEG (DJPEG) compression …

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 …

An increasing amount of posts on social media are used for disseminating news information
and are accompanied by multimedia content. Such content may often be misleading or be …

The advent of Generative Adversarial Network (GAN) architectures has given anyone the
ability of generating incredibly realistic synthetic imagery. The malicious diffusion of GAN …

With the rapid advancements in digital imaging systems and networking, low-cost hand-held
image capture devices equipped with network connectivity are becoming ubiquitous. This …

Convolutional Neural Networks (CNNs) have proved very accurate in multiple computer
vision image classification tasks that required visual inspection in the past (eg, object …

Detection of inconsistencies of double JPEG artifacts across different image regions is often
used to detect local image manipulations, like image splicing, and to localize them. In this …

Quantization plays a pivotal role in JPEG compression with respect to the tradeoff between
image fidelity and storage size, and the blind estimation of quantization parameters has …