Image forgery detection: comprehensive review of digital forensics approaches

S Singh, R Kumar - Journal of Computational Social Science, 2024 - Springer
Image is a powerful way to share information in the digital world. The sources of images are
everywhere, magazines, newspapers, healthcare, entertainment, education, social media …

[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 …

[HTML][HTML] Recent advances in digital multimedia tampering detection for forensics analysis

S Bourouis, R Alroobaea, AM Alharbi, M Andejany… - Symmetry, 2020 - mdpi.com
In the digital multimedia era, digital forensics is becoming an emerging area of research
thanks to the large amount of image and video files generated. Ensuring the integrity of such …

Dual branch convolutional neural network for copy move forgery detection

N Goel, S Kaur, R Bala - IET Image Processing, 2021 - Wiley Online Library
The advent of digital era has seen a rise in the cases of illegal copying, distribution and
forging of images. Even the most secure data channels sometimes suffer to validate the …

An efficient approach for copy-move image forgery detection using convolution neural network

S Koul, M Kumar, SS Khurana, F Mushtaq… - Multimedia Tools and …, 2022 - Springer
Digital imaging has become elementary in this novel era of technology with unconventional
image forging techniques and tools. Since, we understand that digital image forgery is …

QDL-CMFD: a quality-independent and deep learning-based copy-move image forgery detection method

M Aria, M Hashemzadeh, N Farajzadeh - Neurocomputing, 2022 - Elsevier
One of the prevalent methods of image forgery is copy-move, where one or more regions of
an image are duplicated and moved elsewhere in the image. It is usually difficult to detect …

A deep learning framework for copy-move forgery detection in digital images

N Kaur, N **dal, K Singh - Multimedia Tools and Applications, 2023 - Springer
Digital images have become widespread in modern life, and they can be modified and
produced using an inclusive range of software and hardware tools. Since, digital image …

Deep learning based algorithm (ConvLSTM) for copy move forgery detection

MA Elaskily, MH Alkinani, A Sedik… - Journal of Intelligent …, 2021 - content.iospress.com
Protecting information from manipulation is important challenge in current days. Digital
images are one of the most popular information representation. Images could be used in …

Copy move and splicing image forgery detection using cnn

D Mallick, M Shaikh, A Gulhane… - ITM Web of …, 2022 - itm-conferences.org
The boom of digital images coupled with the development of approachable image
manipulation software has made image tampering easier than ever. As a result, there is …

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 …