Copy-move forgery detection based on convolutional kernel network

Y Liu, Q Guan, X Zhao - Multimedia Tools and Applications, 2018 - Springer
Conventional copy-move forgery detection methods mostly make use of hand-crafted
features to conduct feature extraction and patch matching. However, the discriminative …

Enhanced copy-move forgery detection using deep convolutional neural network (DCNN) employing the ResNet-101 transfer learning model

S Vaishali, S Neetu - Multimedia Tools and Applications, 2024 - Springer
The rapid proliferation of high-quality false images on social media sites calls for research
on legitimate image recognition systems. Copy-move forgery (CMF), which involves copying …

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 …

A novel deep learning framework for copy-moveforgery detection in images

MA Elaskily, HA Elnemr, A Sedik, MM Dessouky… - Multimedia Tools and …, 2020 - Springer
In this era of technology, digital images turn out to be ubiquitous in a contemporary society
and they can be generated and manipulated by a wide variety of hardware and software …

CNN-based copy-move forgery detection using rotation-invariant wavelet feature

SI Lee, JY Park, IK Eom - IEEE Access, 2022 - ieeexplore.ieee.org
This paper introduces a machine learning based copy-move forgery (CMF) localization
method. The basic convolutional neural network cannot be applied to CMF detection …

CNN-transformer based generative adversarial network for copy-move source/target distinguishment

Y Zhang, G Zhu, X Wang, X Luo, Y Zhou… - … on Circuits and …, 2022 - ieeexplore.ieee.org
Copy-move forgery can be used for hiding certain objects or duplicating meaningful objects
in images. Although copy-move forgery detection has been studied extensively in recent …

Feature point-based copy-move forgery detection: covering the non-textured areas

L Yu, Q Han, X Niu - Multimedia Tools and Applications, 2016 - Springer
Detection of copy-move forgery has recently attracted much attention. During the past
decade, two categories of methods, namely block-based and feature point-based methods …

Two-stage copy-move forgery detection with self deep matching and proposal superglue

Y Liu, C Xia, X Zhu, S Xu - IEEE Transactions on Image …, 2021 - ieeexplore.ieee.org
Copy-move forgery detection identifies a tampered image by detecting pasted and source
regions in the same image. In this paper, we propose a novel two-stage framework specially …

Copy-move forgery detection and localization using a generative adversarial network and convolutional neural-network

Y Abdalla, MT Iqbal, M Shehata - Information, 2019 - mdpi.com
The problem of forged images has become a global phenomenon that is spreading mainly
through social media. New technologies have provided both the means and the support for …

CAMU-Net: Copy-move forgery detection utilizing coordinate attention and multi-scale feature fusion-based up-sampling

K Zhao, X Yuan, T Liu, Y Xiang, Z Xie, G Huang… - Expert Systems with …, 2024 - Elsevier
In this paper, we construct CAMU-Net, an image forgery detection method, to obtain
evidence of copy-move forgery areas in images. In CAMU-Net, the hierarchical feature …