[HTML][HTML] Comprehensive analyses of image forgery detection methods from traditional to deep learning approaches: an evaluation

P Sharma, M Kumar, H Sharma - Multimedia Tools and Applications, 2023 - Springer
The digital image proves critical evidence in the fields like forensic investigation, criminal
investigation, intelligence systems, medical imaging, insurance claims, and journalism to …

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 …

[HTML][HTML] 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 …

Image forgery detection and deep learning techniques: A review

R Agarwal, D Khudaniya, A Gupta… - 2020 4th International …, 2020 - ieeexplore.ieee.org
Due to the easily available software for tampering images, image manipulation has become
quite common. Since the tampered images are non-distinguishable by the naked eye, they …

[PDF][PDF] A survey on image forgery detection using different forensic approaches

AH Saber, MA Khan, BG Mejbel - Advances in Science …, 2020 - researchgate.net
Recently, digital image forgery detection is an emergent and important area of image
processing. Digital image plays a vital role in providing evidence for any unusual incident …

[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 …

Block-based convolutional neural network for image forgery detection

J Zhou, J Ni, Y Rao - … , IWDW 2017, Magdeburg, Germany, August 23-25 …, 2017 - Springer
With the development of a variety of image editing tools, performing digital image forgery
and concealing the forgery edge is easier. On the other hand, these visually convincing …

A deep-learning-based image forgery detection framework for controlling the spread of misinformation

A Ghai, P Kumar, S Gupta - Information Technology & People, 2024 - emerald.com
Purpose Web users rely heavily on online content make decisions without assessing the
veracity of the content. The online content comprising text, image, video or audio may be …

[HTML][HTML] 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 …

Image forgery detection using deep learning: a survey

ZJ Barad, MM Goswami - 2020 6th international conference on …, 2020 - ieeexplore.ieee.org
The information is shared in form of images through newspapers, magazines, internet, or
scientific journals. Due to software like Photoshop, GIMP, and Coral Draw, it becomes very …