Digital image forgery detection using passive techniques: A survey

GK Birajdar, VH Mankar - Digital investigation, 2013 - Elsevier
Today manipulation of digital images has become easy due to powerful computers,
advanced photo-editing software packages and high resolution capturing devices. Verifying …

[HTML][HTML] Recent advances in passive digital image security forensics: A brief review

X Lin, JH Li, SL Wang, F Cheng, XS Huang - Engineering, 2018 - Elsevier
With the development of sophisticated image editing and manipulation tools, the originality
and authenticity of a digital image is usually hard to determine visually. In order to detect …

Anti-forensics for face swapping videos via adversarial training

F Ding, G Zhu, Y Li, X Zhang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Generating falsified faces by artificial intelligence, widely known as DeepFake, has attracted
attention worldwide since 2017. Given the potential threat brought by this novel technique …

Rotation invariant localization of duplicated image regions based on Zernike moments

SJ Ryu, M Kirchner, MJ Lee… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
This paper proposes a forensic technique to localize duplicated image regions based on
Zernike moments of small image blocks. We exploit rotation invariance properties to reliably …

Contrast enhancement-based forensics in digital images

G Cao, Y Zhao, R Ni, X Li - IEEE transactions on information …, 2014 - ieeexplore.ieee.org
As a retouching manipulation, contrast enhancement is typically used to adjust the global
brightness and contrast of digital images. Malicious users may also perform contrast …

A bibliography of pixel-based blind image forgery detection techniques

MA Qureshi, M Deriche - Signal Processing: Image Communication, 2015 - Elsevier
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 …

Robust median filtering forensics using an autoregressive model

X Kang, MC Stamm, A Peng… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
In order to verify the authenticity of digital images, researchers have begun developing
digital forensic techniques to identify image editing. One editing operation that has recently …

M3FuNet:An Unsupervised Multivariate Feature Fusion Network for Hyperspectral Image Classification

H Chen, H Long, T Chen, Y Song… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Hyperspectral image (HSI) spectral-spatial joint feature (FE) extraction methods generally
suffer from low feature retention and weak spatial–spectral dependence, which will lead to …

[PDF][PDF] Design principles of convolutional neural networks for multimedia forensics

B Bayar, MC Stamm - Electronic Imaging, 2017 - library.imaging.org
Convolutional neural networks (CNNs) have received significant attention due to their ability
to adaptively learn classification features directly from data. While CNNs have helped cause …

Image forgery detection: survey and future directions

KB Meena, V Tyagi - Data, Engineering and Applications: Volume 2, 2019 - Springer
In this age of digitization, digital images are used as a prominent carrier of visual
information. Images are becoming increasingly ubiquitous in everyday life. Unprecedented …