MTD-Net: Learning to detect deepfakes images by multi-scale texture difference

J Yang, A Li, S Xiao, W Lu, X Gao - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the rapid development of face manipulation technology, it is difficult for human eyes to
distinguish fake face images. On the contrary, Convolutional Neural Network (CNN) …

[HTML][HTML] Image forgery detection using deep learning by recompressing images

SS Ali, II Ganapathi, NS Vu, SD Ali, N Saxena… - Electronics, 2022 - mdpi.com
Capturing images has been increasingly popular in recent years, owing to the widespread
availability of cameras. Images are essential in our daily lives because they contain a wealth …

Exposing fake images with forensic similarity graphs

O Mayer, MC Stamm - IEEE Journal of Selected Topics in …, 2020 - ieeexplore.ieee.org
In this paper, we propose new image forgery detection and localization algorithms by
recasting these problems as graph-based community detection problems. To do this, we …

[HTML][HTML] A multi-channel approach for detecting tampering in colour filter images

EG Fernández, ALS Orozco, LJG Villalba - Expert Systems with …, 2023 - Elsevier
Most devices capable of capturing photographs are provided with a Colour Filter Array
(CFA). Images generated by these devices can be analysed to detect the so known CFA …

A principled design of image representation: Towards forensic tasks

S Qi, Y Zhang, C Wang, J Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Image forensics is a rising topic as the trustworthy multimedia content is critical for modern
society. Like other vision-related applications, forensic analysis relies heavily on the proper …

Automated sperm morphology analysis approach using a directional masking technique

HO Ilhan, G Serbes, N Aydin - Computers in Biology and Medicine, 2020 - Elsevier
Sperm Morphology is the key step in the assessment of sperm quality. Due to the effect of
misleading human factors in manual assessments, computer-based techniques should be …

Learning to localize image forgery using end-to-end attention network

II Ganapathi, S Javed, SS Ali, A Mahmood, NS Vu… - Neurocomputing, 2022 - Elsevier
Recent advancements have increased the prevalence of digital image tampering. Anyone
can manipulate multimedia content using editing software to alter the semantic meaning of …

Fauxward: a graph neural network approach to fauxtography detection using social media comments

L Shang, Y Zhang, D Zhang, D Wang - Social Network Analysis and Mining, 2020 - Springer
Online social media has been a popular source for people to consume and share news
content. More recently, the spread of misinformation online has caused widespread …

A conformable moments-based deep learning system for forged handwriting detection

L Nandanwar, P Shivakumara, HA Jalab… - … on Neural Networks …, 2022 - ieeexplore.ieee.org
Detecting forged handwriting is important in a wide variety of machine learning applications,
and it is challenging when the input images are degraded with noise and blur. This article …

An object-based splicing forgery detection using multiple noise features

PC Sekhar, TN Shankar - Multimedia Tools and Applications, 2024 - Springer
In our modern age, everything is accessible from anywhere to share thoughts and
monuments with loved ones via social networking. On the other hand, different photo editing …