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 …

Copy move and splicing forgery detection using deep convolution neural network, and semantic segmentation

Abhishek, N Jindal - Multimedia Tools and Applications, 2021 - Springer
Image forgeries can be detected and localized by using deep convolution neural network,
and semantic segmentation. Color illumination is used to apply color map after pre …

Unveiling copy-move forgeries: Enhancing detection with SuperPoint keypoint architecture

A Diwan, D Kumar, R Mahadeva, HCS Perera… - IEEE …, 2023 - ieeexplore.ieee.org
The authentication of digital images poses a significant challenge due to the wide range of
image forgery techniques employed, with one notable example being a copy-move forgery …

Automatic and fast recognition of on-road high-emitting vehicles using an optical remote sensing system

H Xie, Y Zhang, Y He, K You, B Fan, D Yu, M Li - Sensors, 2019 - mdpi.com
Optical remote sensing systems (RSSs) for monitoring vehicle emissions can be installed on
any road and provide non-contact on-road measurements, that allow law enforcement …

SM-UAN: A software-defined underwater acoustic network of multi-controllers for inland waterway systems

W Jianping, L Yingying, W Chen, G Guohong… - IEEE …, 2020 - ieeexplore.ieee.org
Underwater acoustic network (UAN) is a lightweight system used in inland waterway
systems. Software-defined networking (SDN) is a promising approach to improve the …

Image forgery and image tampering detection techniques: A review

SH Nair, KAS Nair, N Padmanabhan, S Remya… - Proceedings of Third …, 2023 - Springer
Image forgery is the process of manipulating digital images to obscure critical information or
details for personal or business gain. Nowadays, tampering and forging digital images have …

[PDF][PDF] 基于联合学习框架的音频场景聚类

张聿晗, 李艳雄, 江钟杰, 陈昊 - 电子学报, 2021 - ejournal.org.cn
音频场景聚类的任务是将属于相同音频场景的音频样本合并到同一个类中.
本文提出一种基于联合学习框架的音频场景聚类方法. 该框架由一个卷积自编码网络 …

Keypoint Based Tampered Image Identification

GG Rajput, SD Dabhole, Prashantha - International Conference on Smart …, 2024 - Springer
Identifying the tampered regions within an image is a challenging field of study. Images are
often altered using editing programs or tools such as Picasa, Photoshop, and others …

[PDF][PDF] Gray Level Co-occurrence Matrix with Binary Robust Invariant Scalable Keypoints for Detecting Copy Move Forgeries

A Singh, S Singh - Journal of Image and Graphics, 2023 - joig.net
With advancement in technology, especially in imaging field, digital image forgery has
increased a lot nowadays. In order to counter this problem, many forgery detection …

Cloud Data Security Using Hybrid Encryption with Blockchain

K Soundappan, GS Shenoy - International Conference on Emerging …, 2023 - Springer
Securing cloud computing is a significant challenge for the cloud services sector. If someone
is using the cloud to store data, choosing an encryption method that would not slow things …