Results 91 to 100 of about 13,696 (179)

Image Forgery Analyse and Detection

International Journal of Computer Science and Engineering, 2021
Alhussain Akoum, Samia Bahlak, Nagham Abou Daher   +2 more
openaire   +1 more source

IMAGE FORGERY DETECTION SYSTEM

International Research Journal of Modernization in Engineering Technology and Science, 2022
openaire   +1 more source

ForgeLens: Data-Efficient Forgery Focus for Generalizable Forgery Image Detection

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 ...
Chen, Yingjian, Zhang, Lei, Niu, Yakun
openaire   +2 more sources

A hybrid model for image forgery detection using deep learning with block and keypoint methods. [PDF]

Sci Rep
Mehrjardi FZ, Zarchi MS.
europepmc   +1 more source

Hybrid framework for image forgery detection and robustness against adversarial attacks using vision transformer and SVM. [PDF]

Sci Rep
Abdelmaksoud M, Youssef B, Wassif K, A El-Khoribi R.   +3 more
europepmc   +1 more source

Digital image forgery detection using JPEG features and local noise discrepancies. [PDF]

ScientificWorldJournal, 2014
Liu B, Pun CM, Yuan XC.
europepmc   +1 more source

“Image Forgery Detection Using Transfer Learning”

INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Abstract: In today’s digital world, images are often shared and used as evidence in news, legal cases, and social media. However, it has become easier to manipulate images using editing tools, which can lead to false information and serious consequences. Detecting these changes, known as image forgery, is important to make sure images are trustworthy.
openaire   +1 more source

Robust Detection and Localization of Image Copy-Move Forgery Using Multi-Feature Fusion. [PDF]

J Imaging
Lu K, Zhang Q.
europepmc   +1 more source

Multiple contexts and frequencies aggregation network for deepfake detection. [PDF]

PLoS One
Li Z, Tang W, Gao S, Wang Y, Wang S.
europepmc   +1 more source

Seam Carving Forgery Detection Through Multi-Perspective Explainable AI. [PDF]

J Imaging
Neves MJD, Mahlow FRP, Souza RD, Hernandes PRG, Brega JRF, Costa KAPD.   +5 more
europepmc   +1 more source