A survey on deep learning-based image forgery detection

FZ Mehrjardi, AM Latif, MS Zarchi, R Sheikhpour - Pattern Recognition, 2023 - Elsevier
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 …

Survey on image copy-move forgery detection

M Verma, D Singh - Multimedia Tools and Applications, 2024 - Springer
In this digital era, a huge amount of images are flooding the internet, which is extensively
used for digital communications, and are also regarded as a significant source of information …

Image forgery detection: a survey of recent deep-learning approaches

M Zanardelli, F Guerrini, R Leonardi… - Multimedia Tools and …, 2023 - Springer
In the last years, due to the availability and easy of use of image editing tools, a large
amount of fake and altered images have been produced and spread through the media and …

Deep learning-based digital image forgery detection system

EUH Qazi, T Zia, A Almorjan - Applied Sciences, 2022 - mdpi.com
The advancements of technology in every aspect of the current age are leading to the
misuse of data. Researchers, therefore, face the challenging task of identifying these …

Optimization of a pre-trained AlexNet model for detecting and localizing image forgeries

S Samir, E Emary, K El-Sayed, H Onsi - Information, 2020 - mdpi.com
With the advance of many image manipulation tools, carrying out image forgery and
concealing the forgery is becoming easier. In this paper, the convolution neural network …

[Retracted] Design of Automated Deep Learning‐Based Fusion Model for Copy‐Move Image Forgery Detection

N Krishnaraj, B Sivakumar… - Computational …, 2022 - Wiley Online Library
Due to the exponential growth of high‐quality fake photos on social media and the Internet, it
is critical to develop robust forgery detection tools. Traditional picture‐and video‐editing …

ConvNet frameworks for multi-modal fake news detection

C Raj, P Meel - Applied Intelligence, 2021 - Springer
An upsurge of false information revolves around the internet. Social media and websites are
flooded with unverified news posts. These posts are comprised of text, images, audio, and …

Convolutional block attention based network for copy-move image forgery detection

M Sabeena, L Abraham - Multimedia Tools and Applications, 2024 - Springer
Computer-generated picture forgery is a growing problem due to the development of easily
available technology that makes the forging procedure very simple. In response, numerous …

Deep learning-based technique for image tamper detection

S Manjunatha, MM Patil - 2021 Third International Conference …, 2021 - ieeexplore.ieee.org
The objective of the research work is to thoroughly study existing methodologies for
detecting passive image tampering using deep learning techniques. Here, survey is …

A Generalized Model for Identifying Fake Digital Images through the Application of Deep Learning

K Arava, C Paritala, V Shariff… - … on Electronics and …, 2022 - ieeexplore.ieee.org
Digital photography usage plays a major role in today's daily communication. Digital picture
modification and tampering have become a lot easier because of enhanced technology in …