Image manipulation detection has attracted considerable attention owing to the increasing
security risks posed by fake images. Previous studies have proven that tampering traces …

A key challenge of image splicing detection is how to localize integral tampered regions
without false alarm. Although current forgery detection approaches have achieved promising …

Modern image editing software enables anyone to alter the content of an image to deceive
the public, which can pose a security hazard to personal privacy and public safety. The …

Splicing forgery refers to copying some regions of a video or an image to another
video/image. Although image splicing detection has been studied for many years, video …

Multimedia forensics is an essential field of research that deals with the authenticity and
integrity of multimedia content in the digital world. With the increasing use of digital platforms …

Existing forgery image localization methods have achieved impressive performance on
monocular images but struggle to maintain comparable performance on stereo super …

In today's modern communication society, the authenticity of digital media has never been of
such importance as it is now. In this aspect, the reliability of digital images is of paramount …

The easy availability and usability of photo-editing tools have increased the number of
forgery attacks, primarily splicing attacks, thereby increasing cybercrimes. Because of an …

The content authenticity and reliability of digital images have promoted the research on
image manipulation localization (IML). Most current deep learning-based methods focus on …

With the proliferation of retouching software, the detrimental effects of malicious image
tampering are becoming more prevalent. In this study, we propose an adaptive method …