Copy-move and splicing image forgery detection and localization techniques: a review

K Asghar, Z Habib, M Hussain - Australian Journal of Forensic …, 2017 - Taylor & Francis
Digital image acquisition is now a simple task and information in the form of digital images is
drastically increasing on social media, which has both positive and negative impacts on a …

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 …

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 …

Copy move forgery detection and segmentation using improved mask region-based convolution network (RCNN)

T Nazir, M Nawaz, M Masood, A Javed - Applied Soft Computing, 2022 - Elsevier
Copy-move forgery (CMF) is a common image manipulation approach that uses the
information from the same sample to manipulate it with the intent of hiding the required …

Fusion of block and keypoints based approaches for effective copy-move image forgery detection

J Zheng, Y Liu, J Ren, T Zhu, Y Yan, H Yang - … Systems and Signal …, 2016 - Springer
Keypoint-based and block-based methods are two main categories of techniques for
detecting copy-move forged images, one of the most common digital image forgery …

[PDF][PDF] Splicing image forgery detection and localization based on color edge inconsistency using statistical dispersion measures

M Habibi, H Hassanpour - International Journal of Engineering, 2021 - ije.ir
Nowadays, due to the availability of low-cost and high-resolution digital cameras, and the
rapid growth of user-friendly and advanced digital image processing tools, challenges for …

A two-stage localization for copy-move forgery detection

CM Pun, JL Chung - Information Sciences, 2018 - Elsevier
A two-stage localization for copy-move forgery detection (CMFD) is proposed in this paper.
In the first stage, rough localization, Simple Linear Iterative Clustering (SLIC) is employed to …

Two stages object recognition based copy-move forgery detection algorithm

MA Elaskily, HA Elnemr, MM Dessouky… - Multimedia Tools and …, 2019 - Springer
Abstract Copy-Move Forgery Detection (CMFD) is a key issue of image forensics. A copy-
move forgery is a type of image tampering that is created by copying a part of the image and …

Comparative study of copy-move forgery detection techniques

MA Elaskily, HK Aslan, OA Elshakankiry… - 2017 Intl Conf on …, 2017 - ieeexplore.ieee.org
Digital images and their applications gained a huge interest around the world in several
fields like newspapers, social media, defaming persons, and courts. There are two types of …

Single and multiple regions duplication detections in digital images with applications in image forensic

M Nawaz, Z Mehmood, M Bilal… - Journal of Intelligent …, 2021 - content.iospress.com
'With the help of powerful image editing software, various image modifications are possible
which are known as image forgeries. Copy-move is the easiest way of image manipulation …