Results 31 to 40 of about 322 (151)

Convolutional Neural Network for Copy-Move Forgery Detection [PDF]

Symmetry, 2019
Digital image forgery is a growing problem due to the increase in readily-available technology that makes the process relatively easy. In response, several approaches have been developed for detecting digital forgeries. This paper proposes a novel scheme based on neural networks and deep learning, focusing on the convolutional neural network (CNN ...
Younis E. Abdalla, M. Tariq Iqbal, Mohamed S. Shehata   +2 more
openaire   +2 more sources

Deteksi Pemalsuan Citra dengan Teknik Copy-Move Menggunakan Metode Ordinal Measure dari Koefisien Discrete Cosine Transform

Jurnal Nasional Teknik Elektro, 2016
This article discusses a new method for the detection of forgery images generated by copy-move technique. Copy-move technique is one of image forgery techniques which taking a particular object from its original image and add it on that image for the ...
Zulfan, Fitri Arnia, Rusdha Muharar
doaj   +3 more sources

Highly Discriminative Image Copy-Move Forgery Detection [PDF]

Jisuanji gongcheng
Several discriminative problems exist in copy-move forgery detection, including the difficulty of using keypoints to cover smooth regions, lack of color descriptive capability in feature representations, and insufficient accuracy of feature matching ...
WANG Chao, HUANG Zhiqiu, ZHANG Yushu, YI Shuang
doaj   +1 more source

Coarse-to-Fine Copy-Move Forgery Detection for Video Forensics

IEEE Access, 2018
Video copy-move forgery detection is one of the hot topics in multimedia forensics to protect digital videos from malicious use. Several approaches have been presented through analyzing the side effect caused by copy-move operation.
Shan Jia, Zhengquan Xu, Hao Wang, Chunhui Feng, Tao Wang   +4 more
doaj   +1 more source

An Attack-Independent Audio Forgery Detection Technique Based on Cochleagram Images of Segments With Dynamic Threshold

IEEE Access
Thanks to advanced audio editing software, speech recordings can be tampered with very quickly. If the speech recordings are used as forensic evidence, adding the audio recordings together, cutting them, and changing their content are legally ...
Beste Ustubioglu
doaj   +1 more source

False Matches Removing in Copy-Move Forgery Detection Algorithms

Al-Mustansiriyah Journal of Science, 2020
Today the technology age is characterized by spreading of digital images. The most common form of transfer the information in magazines, newspapers, scientific journals and all types of social media.
muthana salih mahdi, Saad N. Alsaad
doaj   +1 more source

Detecting and Localizing Copy-Move and Image-Splicing Forgery

CoRR, 2022
In the world of fake news and deepfakes, there have been an alarmingly large number of cases of images being tampered with and published in newspapers, used in court, and posted on social media for defamation purposes. Detecting these tampered images is an important task and one we try to tackle.
Aditya Pandey, Anshuman Mitra
openaire   +2 more sources

Copy-Move Forgery Detection and Localization Using a Generative Adversarial Network and Convolutional Neural-Network

Information, 2019
The problem of forged images has become a global phenomenon that is spreading mainly through social media. New technologies have provided both the means and the support for this phenomenon, but they are also enabling a targeted response to overcome it ...
Younis Abdalla, M. Tariq Iqbal, Mohamed Shehata   +2 more
doaj   +1 more source

Detection of Copy-Move Forgery in Digital Images Using Scale Invariant Feature Transform Algorithm and the Spearman Relationship

Iranian Journal of Electrical and Electronic Engineering, 2020
Increased popularity of digital media and image editing software has led to the spread of multimedia content forgery for various purposes. Undoubtedly, law and forensic medicine experts require trustworthy and non-forged images to enforce rights.
A. Fattahi, S. Emadi
doaj  

Dual branch convolutional neural network for copy move forgery detection

IET Image Processing, 2021
The advent of digital era has seen a rise in the cases of illegal copying, distribution and forging of images. Even the most secure data channels sometimes suffer to validate the integrity of images.
Nidhi Goel, Samarjeet Kaur, Ruchika Bala
doaj   +1 more source