Copy-move forgery detection: A state-of-the-art technical review and analysis
S Teerakanok, T Uehara - IEEE Access, 2019 - ieeexplore.ieee.org
This paper presents the state-of-the-art technical reviews and analysis of recent copy-move
forgery detection (CMFD) techniques. A new CMFD process pipeline was introduced. In …
forgery detection (CMFD) techniques. A new CMFD process pipeline was introduced. In …
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 …
A two-stage detection method of copy-move forgery based on parallel feature fusion
W Ye, Q Zeng, Y Peng, Y Liu, CC Chang - EURASIP Journal on Wireless …, 2022 - Springer
The copy-move forgery refers to the copying and pasting of a region of the original image
into the target region of the same image, which represents a typical tampering method with …
into the target region of the same image, which represents a typical tampering method with …
[PDF][PDF] Drone Detection by Neural Network Using GLCM and SURF
This paper presents a vision-based drone detection method. There are a number of
researches on object detection which includes different feature extraction methods–all of …
researches on object detection which includes different feature extraction methods–all of …
[PDF][PDF] A Thorough Investigation on Image Forgery Detection.
AK Rai, S Srivastava - CMES-Computer Modeling in …, 2023 - cdn.techscience.cn
Image forging is the alteration of a digital image to conceal some of the necessary or helpful
information. It cannot be easy to distinguish the modified region from the original image in …
information. It cannot be easy to distinguish the modified region from the original image in …
A Similarity-based Positional Attention aided Deep Learning Model for Copy-Move Forgery Detection
The process of modifying digital images has been made significantly easier by the
availability of several image editing software. However, in a variety of contexts, including …
availability of several image editing software. However, in a variety of contexts, including …
Fuzzy based image forgery classification with SWT-DCT-LBP based hybrid features
MS Kaushik, AB Kandali - Wireless Personal Communications, 2023 - Springer
The reliability of photographs and digital images in general plays an essential role today in
many areas of society. Technological advancements have greatly simplified the task of …
many areas of society. Technological advancements have greatly simplified the task of …
[PDF][PDF] A New Matching Strategy for SIFT Based Copy-Move Forgery Detection.
IA Zedan, MM Soliman, KM Elsayed… - International Journal of …, 2023 - researchgate.net
SIFT-based techniques have achieved satisfying performance in detecting copy-move
forgery (CMF). Typically, these techniques find the matched regions of an image and re …
forgery (CMF). Typically, these techniques find the matched regions of an image and re …
Image Tampering Detection Using Error Level Analysis and Metadata Analysis
As the volume of digital content continues to increase, the problem of information pollution
has become increasingly pressing. Information pollution refers to the dissemination of false …
has become increasingly pressing. Information pollution refers to the dissemination of false …
Copy-move forgery detection using SIFT and GLCM-based texture analysis
M Chowdhury, H Shah, T Kotian… - TENCON 2019-2019 …, 2019 - ieeexplore.ieee.org
Easier access to editing tools and growing risk of image manipulation has encouraged
extensive research in copy-move forgery detection. Although the current methods have been …
extensive research in copy-move forgery detection. Although the current methods have been …