Results 11 to 20 of about 23,633 (272)
An Evaluation of Popular Copy-Move Forgery Detection Approaches
A copy-move forgery is created by copying and pasting content within the same image, and potentially post-processing it. In recent years, the detection of copy-move forgeries has become one of the most actively researched topics in blind image forensics.
Angelopoulou, Elli +4 more
core +3 more sources
Image Forgery Detection & Localization
A human brain responds at a much faster rate to images and the information it contains. An image is considered as proof of past events that have occurred, but in today's world where editing tools are made available so easily tampering of images and hiding the original content has become too mainstream.
Aditi Shedge +4 more
openaire +1 more source
Image Copy-Move Forgery Detection Based on Fused Features and Density Clustering
Image copy-move forgery is a common simple tampering technique. To address issues such as high time complexity in most copy-move forgery detection algorithms and difficulty detecting forgeries in smooth regions, this paper proposes an image copy-move ...
Guiwei Fu, Yujin Zhang, Yongqi Wang
doaj +1 more source
In the digital age, the proliferation of image editing tools has made it easier than ever to manipulate images, raising concerns about the authenticity and credibility of visual content. This project focuses on the development of an effective and efficient image forgery detection system to address the growing challenges associated with digital image ...
null Dr. Vikram S. Patil +4 more
+4 more sources
Face Forgery Detection and Attribution via Prototype Disentanglement [PDF]
The detection and attribution of face forgery aims to determine whether a face in an image or video has been manipulated or synthesized using Deepfake techniques, as well as to further analyze the Deepfake method behind it.
QIAN Fei, LI Wei, CHEN Peng, CHEN Haoran, XIE Lipeng, LIU Liyuan
doaj +1 more source
Multi-Feature Fusion Based Deepfake Face Forgery Video Detection
With the rapid development of deep learning, generating realistic fake face videos is becoming easier. It is common to make fake news, network pornography, extortion and other related illegal events using deep forgery.
Zhimao Lai +4 more
doaj +1 more source
Copy-move forgery detection using the segment gradient orientation histogram [PDF]
The ready availability of image-editing software makes ensuring the authenticity of images an important issue. The most common type of image tampering is cloning, or Copy-Move Forgery (CMF), in which part(s) of the image are copied and pasted back into ...
Khayeat, Ali +2 more
core +2 more sources
Seamless Copy–Move Replication in Digital Images
The importance and relevance of digital-image forensics has attracted researchers to establish different techniques for creating and detecting forgeries.
Tanzeela Qazi +3 more
doaj +1 more source
Spectrum sharing security and attacks in CRNs: a review [PDF]
Cognitive Radio plays a major part in communication technology by resolving the shortage of the spectrum through usage of dynamic spectrum access and artificial intelligence characteristics.
Alhakami, Wajdi +2 more
core +3 more sources
Copy-move (CM) forgery is a common type of image manipulation that involves copying and pasting a region within an image to conceal or duplicate content. Detection of such forgeries acts as an important part of digital image forensics.
Mashael Maashi +7 more
doaj +1 more source

