Image is known as one of the communication tools between humans. With the development
and availability of digital devices such as cameras and cell phones, taking images has …

With the technological advancements of the modern era, the easy availability of image
editing tools has dramatically minimized the costs, expense, and expertise needed to exploit …

In modern society, digital images have become a prominent source of information and
medium of communication. The easy availability of image-altering softwares have greatly …

Nowadays, digital images are a main source of shared information in social media.
Meanwhile, malicious software can forge such images for fake information. So, it's crucial to …

Image forgery detection aims to detect and locate forged regions in an image. Most existing
forgery detection algorithms formulate classification problems to classify pixels into forged or …

The rapid development of image processing and manipulation techniques poses
unprecedented challenges in multimedia forensics, especially in Image Forgery Localization …

Theoretical framework: This study is grounded in Social Management, a paradigm that
focuses on society's deliberative process for public decisions. It also employs the Rapid …

Image forgery localization, which aims to segment tampered regions in an image, is a
fundamental yet challenging digital forensic task. While some deep learning-based forensic …

Pixel dependency modeling from tampered images is pivotal for image forgery localization.
Current approaches predominantly rely on convolutional neural network (CNN) or …

Multimedia forensics is a rapidly evolving field that addresses the detection and analysis of
manipulations in various forms of digital media, with a particular focus on image forgery. As …