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 …

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 …

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 …

[PDF][PDF] Drone Detection by Neural Network Using GLCM and SURF

T Ahmed, T Rahman, BB Roy, J Uddin - Journal of Information …, 2021 - academia.edu
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 …

[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 …

A Similarity-based Positional Attention aided Deep Learning Model for Copy-Move Forgery Detection

A Roy, S Mohiuddin, R Sarkar - IEEE Transactions on Artificial …, 2024 - ieeexplore.ieee.org
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 …

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 …

[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 …

Image Tampering Detection Using Error Level Analysis and Metadata Analysis

J Madake, J Meshram, A Mondhe… - 2023 4th International …, 2023 - ieeexplore.ieee.org
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 …

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 …