Results 61 to 70 of about 322 (151)

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

PP-JPEG: A Privacy-Preserving JPEG Image-Tampering Localization. [PDF]

J Imaging, 2023
Jena R, Singh P, Mohanty M.
europepmc   +1 more source

Harmonizing Image Forgery Detection & Localization: Fusion of Complementary Approaches. [PDF]

J Imaging, 2023
Mareen H, De Neve L, Lambert P, Van Wallendael G.   +3 more
europepmc   +1 more source

Comprehensive analyses of image forgery detection methods from traditional to deep learning approaches: an evaluation. [PDF]

Multimed Tools Appl, 2023
Sharma P, Kumar M, Kumar M, Sharma H.
europepmc   +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

An image forensic technique based on JPEG ghosts. [PDF]

Multimed Tools Appl, 2023
Singh D, Singh P, Jena R, Chakraborty RS.   +3 more
europepmc   +1 more source

Deep learning and multi-statistical features: an intra-frame forgery detection video method. [PDF]

Front Artif Intell
Uliyan D, Alazmi ME, Alsaffar M, Al-Dlalah M, Alazmi M.   +4 more
europepmc   +1 more source

DeepForgeryNet: a hybrid CNN-LSTM and transfer learning framework for robust image forgery and deepfake detection. [PDF]

Front Artif Intell
Sardhara A, Vekariya V, Pathak AR, Dash S.   +3 more
europepmc   +1 more source

A robust semi-fragile watermarking system using Pseudo-Zernike moments and dual tree complex wavelet transform for social media content authentication. [PDF]

Multimed Tools Appl, 2023
Agilandeeswari L, Prabukumar M, Alenizi FA.   +2 more
europepmc   +1 more source

The progressive image copy-move forgery detection based on attention mechanism

四川大学学报. 自然科学版
To address the problem of information loss in the feature extraction stage of deep-learning-based methods for image copy-move forgery detection， a progressive image copy-move forgery detection model based on the attention mechanism is proposed.This model
LIU Liang, HE Wen-Jing, ZHANG Lei
doaj