Results 221 to 230 of about 414 (250)

Copy-move forgery detection based on deep learning

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2017
Copy-move forgery detection (CMFD) is probably one of the most active research areas within the blind image forensics field. Among existing algorithms, most of them are based on block and key-point methods, or combination of them. Recently, some deep convolutional neural networks methods have been applied in the image classification, image forensic ...
Junlin Ouyang, Yizhi Liu, Miao Liao
openaire   +1 more source

Fan Search for Image Copy-Move Forgery Detection

2014
Image forgery detection is currently one of the interested research fields of image processing. Copy-Move (CM) forgery is one of the most commonly techniques. In this paper, we propose an efficient methodology for fast CM forgery detection. The proposed method accelerates blocking matching strategy.
Sondos M. Fadl, Noura A. Semary, Mohiy M. Hadhoud   +2 more
openaire   +1 more source

Efficient Dense-Field Copy–Move Forgery Detection

IEEE Transactions on Information Forensics and Security, 2015
We propose a new algorithm for the accurate detection and localization of copy–move forgeries, based on rotation-invariant features computed densely on the image. Dense-field techniques proposed in the literature guarantee a superior performance with respect to their keypoint-based counterparts, at the price of a much higher processing time, mostly due
COZZOLINO, DAVIDE, POGGI, GIOVANNI, VERDOLIVA, LUISA   +2 more
openaire   +2 more sources

A review on copy move image forgery detection techniques

2014 IEEE 11th International Multi-Conference on Systems, Signals & Devices (SSD14), 2014
With the advent of powerful image editing tools, manipulating images and changing their content is becoming a trivial task. It is now possible to add, modify, or remove important features from an image without leaving any perceptual traces of tampering.
Muhammad Ali Qureshi, Mohamed A. Deriche
openaire   +1 more source

Survey on image copy-move forgery detection

Multimedia Tools and Applications, 2023
Mayank Verma, Durgesh Singh 0001
openaire   +1 more source

A Comparative Analysis of Copy-Move Forgery Detection Algorithms

International Journal of Electronic Security and Digital Forensics, 2022
Mohassin Ahmad, Farida Khursheed
openaire   +1 more source

Copy move forgery detection

International Conference & Workshop on Electronics & Telecommunication Engineering (ICWET 2016), 2016
A.B. Patankar, A. Sukhpal, S. Shetye, A. ShroffShroff   +3 more
openaire   +1 more source

Digital Image Forgery Detection with Focus on a Copy-Move Forgery Detection: A Survey

2023 International Conference on Cyberworlds (CW), 2023
Sami Gazzah, Lamia Rzouga Haddada, Isam Shallal, Najoua Essoukri Ben Amara   +3 more
openaire   +1 more source

Detection of copy-move forgery using DoGCode

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Salih Turk, Ozkan Bingol, Güzin Ulutas
openaire   +1 more source

An ensemble approach to detect copy-move forgery in videos

Multimedia Tools and Applications, 2023
Sk Mohiuddin, Samir Malakar, Ram Sarkar
openaire   +1 more source