An efficient approach for copy-move image forgery detection using convolution neural network
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 …
image forging techniques and tools. Since, we understand that digital image forgery is …
An efficient CNN model to detect copy-move image forgery
Recently, digital images have become used in many applications, where they have become
the focus of digital image processing researchers. Image forgery represents one hot topic on …
the focus of digital image processing researchers. Image forgery represents one hot topic on …
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 …
available technology that makes the forging procedure very simple. In response, numerous …
Copy-move image forgery detection using deep learning methods: a review
ABZ Abidin, HBA Majid, ABA Samah… - 2019 6th international …, 2019 - ieeexplore.ieee.org
In recent years, the manipulation of digital images can be done with relative ease. This can
be attributed to the technological advancement in the field of computing specifically with …
be attributed to the technological advancement in the field of computing specifically with …
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 …
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 …
on legitimate image recognition systems. Copy-move forgery (CMF), which involves copying …
Convolutional neural network for copy-move forgery detection
Digital image forgery is a growing problem due to the increase in readily-available
technology that makes the process relatively easy. In response, several approaches have …
technology that makes the process relatively easy. In response, several approaches have …
A novel deep learning framework for copy-moveforgery detection in images
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 …
and they can be generated and manipulated by a wide variety of hardware and software …
An efficient copy move forgery detection using deep learning feature extraction and matching algorithm
The image forgery activities are on the rise because of the development of various image
editing tools. Such activities are done by attackers with intentions of defaming people and …
editing tools. Such activities are done by attackers with intentions of defaming people and …
Detection of copy-move forgery in digital image using multi-scale, multi-stage deep learning model
AK Jaiswal, R Srivastava - Neural Processing Letters, 2022 - Springer
Images are an important source of information and copy-move forgery (CMF) is one of the
vicious forgery attacks. Its objective is to conceal sensitive information from the image …
vicious forgery attacks. Its objective is to conceal sensitive information from the image …