A survey on deep learning-based image forgery detection

FZ Mehrjardi, AM Latif, MS Zarchi, R Sheikhpour - Pattern Recognition, 2023 - Elsevier
Image is known as one of the communication tools between humans. With the development
and availability of digital devices such as cameras and cell phones, taking images has …

SentinelFusion based machine learning comprehensive approach for enhanced computer forensics

U Islam, AA Alsadhan, HS Alwageed… - PeerJ Computer …, 2024 - peerj.com
In the rapidly evolving landscape of modern technology, the convergence of blockchain
innovation and machine learning advancements presents unparalleled opportunities to …

An Optimal Hybrid Method to Detect Copy-move Forgery

F Zare Mehrjardi, A Latif… - Journal of AI and Data …, 2023 - jad.shahroodut.ac.ir
Image is a powerful communication tool that is widely used in various applications, such as
forensic medicine and court, where the validity of the image is crucial. However, with the …

[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 …

Digital Image Forgery Detection using Convolutional Neural Network (CNN): A Survey

S Ahirwar, A Pandey - 2024 IEEE International Students' …, 2024 - ieeexplore.ieee.org
Nowadays, there are lots of pictures everywhere because almost everyone has a camera or
a smartphone. This has led to a worrying trend: people change images for different reasons …

Digital Image Forgery Detection Based on Convolutional Neural Networks

NM Saleh, SA Naji - International Conference on Communication and …, 2024 - Springer
Image authentication has become a hot topic with the currently available technology for
manipulating and distributing images. Image authentication aims to ensure the authenticity …

An Efficient Copy-Move Forgery Detection using Discrete Cosine Transform with Block-wise Peak-Pixel-based Block Clustering

SP Koritala, M Chimata, SN Polavarapu… - 2024 15th …, 2024 - ieeexplore.ieee.org
Digital images that are frequently encountered in day-to-day life can be easily tampered to
mislead the information. One of the popular methods used to accomplish this unauthorized …

Image Forgery Detection Method Based on Lightweight Fusion Models

Z Zhao, S Meng, C Wang - Proceedings of the 2024 8th International …, 2024 - dl.acm.org
In recent years, with the rapid development of artificial intelligence (AI) technology, its
applications have become increasingly widespread. In social security and individual privacy …

Forgery detection in digital images using the hybrid deep learning method

F Zare Mehrjardi, AM Latif… - Electronic and Cyber …, 2024 - ecdj.ihu.ac.ir
Today, images are used as powerful communication tools and sources of information. In
certain applications, such as medicine, justice, and forensics, images serve as evidence …

Digital Image Forgery Detection Based

NM Saleh, SA Naji - … of International Conference on Communication and … - books.google.com
Image authentication has become a hot topic with the currently available technology for
manipulating and distributing images. Image authentication aims to ensure the authenticity …