Results 181 to 190 of about 285 (210)

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

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

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

Image Copy-Move Forgery Detection

2022
Badal Soni, Pradip K. Das
openaire   +1 more source

Detection of audio copy-move-forgery with novel feature matching on Mel spectrogram

Expert Systems With Applications, 2023
Beste Ustubioglu, Gul Tahaoglu, Güzin Ulutas   +2 more
exaly