Results 81 to 90 of about 13,849 (178)
Copy Move Image Forgery Detection using Multi-Level Local Binary Pattern Algorithm
Journal of EngineeringDigital image manipulation has become increasingly prevalent due to the widespread availability of sophisticated image editing tools. In copy-move forgery, a portion of an image is copied and pasted into another area within the same image.
Marwa Emad Mahdi, Nada Hussein M Ali
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Detection of Image Forgery [PDF]
International Journal of Engineering Research and, 2020 openaire +1 more source
The PS-Battles Dataset - an Image Collection for Image Manipulation Detection
, 2018 The boost of available digital media has led to a significant increase in derivative work. With tools for manipulating objects becoming more and more mature, it can be very difficult to determine whether one piece of media was derived from another one or
Heller, Silvan +2 more
core
ForgeLens: Data-Efficient Forgery Focus for Generalizable Forgery Image Detection
2025 IEEE/CVF International Conference on Computer Vision (ICCV)The rise of generative models has raised concerns about image authenticity online, highlighting the urgent need for a detector that is (1) highly generalizable, capable of handling unseen forgery techniques, and (2) data-efficient, achieving optimal performance with minimal training data, enabling it to counter newly emerging forgery techniques ...
Yingjian Chen, Lei Zhang, Yakun Niu
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Image Forgery Detection and Localization via a Reliability Fusion Map. [PDF]
Sensors (Basel), 2020 Yao H, Xu M, Qiao T, Wu Y, Zheng N.
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Passive approaches for digital image forgery detection. [PDF]
, 2019 DOCTOR OF PHILOSOPHY (SCE)
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Majlesi Journal of Electrical EngineeringToday, due to the advent of the powerful photo editing software packages, it has become relatively easy to create forgery images. Recognizing the correctness of digital images becomes important when those images are used as evidence in legal, forensic ...
Shirin Nayerdinzadeh, Mohammad Yousefi
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BMNet: Enhancing Deepfake Detection Through BiLSTM and Multi-Head Self-Attention Mechanism
IEEE AccessWhen forgery techniques can generate highly realistic videos, traditional convolutional neural network (CNN)-based detection models often struggle to capture subtle forgery features and temporal dependencies.
Demao Xiong +4 more
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Design of Automated Deep Learning-Based Fusion Model for Copy-Move Image Forgery Detection.
Comput Intell Neurosci, 2022 Krishnaraj N +5 more
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A REVIEW ON IMAGE FORGERY DETECTION
As society grows more reliant on the internet, it also becomes more susceptible to dangerous dangers. These dangers are intensifying and changing all the time. The legitimacy of data sent via the internet is distorted by these dangers. Since all of us depend entirely or in part on this communicated data, its legitimacy must be maintained.
Pallavi Gaikwad, Sugandha Nandedkar
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