PR‐NET: progressively‐refined neural network for image manipulation localization

Z Shi, C Chang, H Chen, X Du… - International Journal of …, 2022 - Wiley Online Library
Current deep learning‐based image manipulation localization methods achieve impressive
performance when rich spatial features and information are fully utilized. However, most of …

DMFF-Net: Double-stream multilevel feature fusion network for image forgery localization

X Xia, LC Su, SP Wang, XY Li - Engineering Applications of Artificial …, 2024 - Elsevier
With the rapid development of image processing technology, it has become increasingly
easy to manipulate images, which poses a threat to the stability and security of people's …

A systematic literature review on image splicing detection and localization using emerging technologies

M Dutta, J Saini - Multimedia Tools and Applications, 2024 - Springer
Computer vision applications involving digital forensic investigations widely use digital
images as legal documentary proof. Ensuring the authenticity and reliability of digital images …

Document images forgery localization using a two‐stream network

W Xu, J Luo, C Zhu, W Lu, J Zeng… - International Journal of …, 2022 - Wiley Online Library
Document images often contain essential and sensitive information. With image editing
software, one can easily manipulate the semantic meaning of the document image by copy …

Video Surveillance Object Forgery Detection using PDCL Network with Residual‐based Steganalysis Feature

YF Gan, JX Yang, JL Zhong - International Journal of Intelligent …, 2023 - Wiley Online Library
Video surveillance has various applications in various fields and industries. However, the
rapid development of video processing technology has made video surveillance information …

MC‐Net: Learning mutually‐complementary features for image manipulation localization

D Xu, X Shen, Y Lyu, X Du… - International Journal of …, 2022 - Wiley Online Library
Deep learning has become an emerging technical for image manipulation localization,
which can automatically recognize abnormal traces caused by manipulation. However, as …

Image Forgery Detection Using Deep Learning Framework

Y Deng - 2022 IEEE 5th International Conference on …, 2022 - ieeexplore.ieee.org
With the continuous development of digital media and the rapid change of digital image
processing equipment, digital images are easy to be tampered with by criminals. In recent …

Utilizing Sensitive Features for Image Tampering Detection

Y Deng - 2022 IEEE 5th International Conference on …, 2022 - ieeexplore.ieee.org
Image tampering has brought a great negative impact on society. People who do not know
the truth are easy to be misled and used by people with intentions. Its impact on society has …

Self-Information Forgery Mining for Face Forgery Detection

X Wang, J Wei - Applied Mathematics and Nonlinear Sciences, 2023 - sciendo.com
In the face of rapid advances in face forgery technology, effective detection methods have
become crucial to maintain the authenticity of digital media. Deep learning technology has …