Image tampering detection using convolutional neural network

S Singhania, NA Arju, R Singh - International Journal of Synthetic …, 2019 - igi-global.com
Pictures are considered the most reliable form of media in journalism, research work,
investigations, and intelligence reporting. With the rapid growth of ever-advancing …

Image Tampering Detection with ELA Transform and Convolutional Neural Network

K Agarwal, A Bhattacharya, E Anand… - 2024 1st International …, 2024 - ieeexplore.ieee.org
With the advancement in technology, it has become easier to tamper images and change
minute details. Detecting forgeries is getting next to impossible with naked eye. In the recent …

Tampering Detection and Localization on Copy-Move Images Using Deep Learning Approaches

KL Rao, S Tejaswari, P Meghana… - … Conference on Self …, 2023 - ieeexplore.ieee.org
Images can be used as legal evidence in forensics, journalism, and other fields. Image
tampering is modifying images using modern technologies, which might create false …

A review on deep learning techniques for image forgery detection

A Pandey, P Parwekar… - … , and Intelligent Systems …, 2022 - ieeexplore.ieee.org
The images are very popular medium now days for communication either in social media or
by e-communication. It is very important that image circulated for communication must be …

CNN-Based Models for Image Forgery Detection

S Singh Rajput, D Rai, D Hothrik, S Kumar… - Predictive Data Security …, 2022 - Springer
Image forgery (IF) is a technique in which images are manipulated through several
tampering software such as Photoshop, Adobe, Corel, etc., and it becomes difficult to …

[PDF][PDF] Deep Learning Based Image Forgery Detection Methods

L Xiu-Jian, H Sun - Journal of Cybersecurity, 2022 - cdn.techscience.cn
Increasingly advanced image processing technology has made digital image editing easier
and easier. With image processing software at one's fingertips, one can easily alter the …

[PDF][PDF] Transfer learning approach for splicing and copy-move image tampering detection.

NK Hebbar, AS Kunte - ICTACT Journal on Image & Video …, 2021 - ictactjournals.in
Image authentication before using in any security critical applications has become
necessary as the image editing tools are increasing and are handy to use in today's world …

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 …

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 …

Copy-move forgery detection using residuals and convolutional neural network framework: a novel approach

R Thakur, R Rohilla - 2019 2nd International conference on …, 2019 - ieeexplore.ieee.org
With the sudden advancement in digital image processing, there has been a huge upsurge
in the creation of doctored or tampered images with the successful aid of softwares like GNU …