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 …

Image forensic plays a crucial role in both criminal investigations (eg, dissemination of fake
images to spread racial hate or false narratives about specific ethnicity groups or political …

Abstract Copy–Move Forgery Detection (CMFD) helps to detect copied and pasted areas in
one image. It plays a crucial role in legal evidence, forensic investigation, defence, and …

Hiding secret data in digital multimedia has been essential to protect the data. Nevertheless,
attackers with a steganalysis technique may break them. Existing steganalysis methods …

Image forensics is an investigation of digital images to identify manipulations that have been
done on them. Nowadays, due to the availability of different low-cost devices for capturing …

With the exponential growth of high-quality fake images in social networks and media, it is
necessary to develop recognition algorithms for this type of content. One of the most …

With the rapid development of generative models, discerning AI-generated content has
evoked increasing attention from both industry and academia. In this paper, we conduct a …

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 …

This paper introduces a machine learning based copy-move forgery (CMF) localization
method. The basic convolutional neural network cannot be applied to CMF detection …

Digital tamper detection is a substantial research area of image analysis that identifies the
manipulation in the image. This domain has matured with time and incredible accuracy in …