Results 91 to 100 of about 79,494 (188)

Design of Automated Deep Learning-Based Fusion Model for Copy-Move Image Forgery Detection.

Comput Intell Neurosci, 2022
Krishnaraj N, Sivakumar B, Kuppusamy R, Teekaraman Y, Thelkar AR, Thelkar AR.   +5 more
europepmc   +1 more source

Efficient Approach towards Detection and Identification of Copy Move and Image Splicing Forgeries Using Mask R-CNN with MobileNet V1.

Comput Intell Neurosci, 2022
Kadam KD, Ahirrao S, Kotecha K.
europepmc   +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

A multi-model feature fusion based transfer learning with heuristic search for copy-move video forgery detection. [PDF]

Sci Rep
Alfraihi H, Alzaidi MSA, Alqahtani H, Darem AA, Al-Sharafi AM, Alzahrani AA, Alshammeri M, Alkharashi A.   +7 more
europepmc   +1 more source

SFTA-Net: a self-supervised approach to detect copy-move and splicing forgery to leverage triplet loss, auxiliary loss, and spatial attention. [PDF]

PeerJ Comput Sci
Alabrah A.
europepmc   +1 more source

The Optimal Model for Copy-Move Forgery Detection in Medical Images. [PDF]

J Med Signals Sens
Amiri E, Mosallanejad A, Sheikhahmadi A.
europepmc   +1 more source

CFDMI-SEC: An optimal model for copy-move forgery detection of medical image using SIFT, EOM and CHM. [PDF]

PLoS One
Amiri E, Mosallanejad A, Sheikhahmadi A.
europepmc   +1 more source

Counter-forensics of SIFT-based copy-move detection by means of keypoint classification [PDF]

core   +1 more source

Image Copy Move Forgery Detection: A Review

International Journal of Future Generation Communication and Networking, 2018
Saba Mushtaq, Ajaz Hussain Mir
openaire   +1 more source

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