Results 61 to 70 of about 79,494 (188)
Advancing Copy-Move Manipulation Detection in Complex Image Scenarios Through Multiscale Detector
IEEE AccessThis research presents a new approach for identifying instances of copy-move forgeries in digital images by utilizing the Multiscale Detector a Neural Network-based method, which serves as an image key-point detector and descriptor.
Anjali Diwan +2 more
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Camera-based Image Forgery Localization using Convolutional Neural Networks
, 2018 Camera fingerprints are precious tools for a number of image forensics tasks. A well-known example is the photo response non-uniformity (PRNU) noise pattern, a powerful device fingerprint.
Cozzolino, Davide, Verdoliva, Luisa
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Copy-Move Forgery Detection Using Deep Learning
, 2021 Due to the number of image editing tools available online, image tampering has been easy to execute. The quality of these tools has led these tamperings to steer clear from the naked eye. One such tampering method is called the Copy-Move tampering where a region of the image is copied and pasted elsewhere in the image.
openaire +2 more sources
Detection of Region Duplication in Digital Images:A Digital Forensic Approach [PDF]
, 2015 Digital images are easy to manipulate and forge due to availability of powerful image processing and editing software. Region duplication is becoming more and more popular in image manipulation where part of an image is pasted to another location to ...
Ahemad, Talib, Wadhwa, Jatin
core
Copy Move Forgery Detection on Digital Images
International Journal of Computer Applications, 2014 scenario forging of the Digital images has become a common phenomena. The availability of low cost manipulation software also boost to this practice. The foremost practice of manipulating the digital images employed by the most forgerer is the copy move forgery.
Nishi Goel, Ashish Oberoi, Ruchita Singh
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FI-SURF algorithm for image copy-flip-move forgery detection
Tongxin xuebao, 2015 FI-SURF (flip invariant SURF) algorithm was proposed,for the consideration of the copy-move forgery detec-tion of digital images.The arrangement of the SURF (speeded-up robust features) descriptor after image flip was studied.After extract the SURF ...
IYan L +4 more
doaj +2 more sources
, 2018 Computer-generated graphics (CGs) are images generated by computer software. The~rapid development of computer graphics technologies has made it easier to generate photorealistic computer graphics, and these graphics are quite difficult to distinguish ...
Hu, Weitong +4 more
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Copy Move Image Forgery Detection using Multi-Level Local Binary Pattern Algorithm
Journal of EngineeringDigital image manipulation has become increasingly prevalent due to the widespread availability of sophisticated image editing tools. In copy-move forgery, a portion of an image is copied and pasted into another area within the same image.
Marwa Emad Mahdi, Nada Hussein M Ali
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Fast copy-move forgery detection algorithm based on group SIFT
Tongxin xuebao, 2020 Aiming at the high computational complexity of the existing copy-move image forgery detection algorithm,a copy-move forgery detection algorithm based on group scale-invariant feature transform (SIFT) was proposed.Firstly,the simple linear iterative ...
Bin XIAO +3 more
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Copy-Move Forgery Detection: A State-of-the-Art Technical Review and Analysis
IEEE Access, 2019 This paper presents the state-of-the-art technical reviews and analysis of recent copy-move forgery detection (CMFD) techniques. A new CMFD process pipeline was introduced.
Songpon Teerakanok, Tetsutaro Uehara
doaj +1 more source