An efficient method for image forgery detection based on trigonometric transforms and deep learning
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08162-3
Abstract: Image forgery detection is the basic key to solve many problems, especially social problems such as those in Facebook, and court cases. The common form of image forgery is the copy-move forgery, in which a… read more here.
Keywords: trigonometric transforms; image; forgery detection; forgery ... See more keywords
An efficient copy move forgery detection using deep learning feature extraction and matching algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08495-z
Abstract: The image forgery activities are on the rise because of the development of various image editing tools. Such activities are done by attackers with intentions of defaming people and websites or for gaining monetary advantage, extortion… read more here.
Keywords: forgery; image; copy move; forgery detection ... See more keywords
A novel passive forgery detection algorithm for video region duplication
Sign Up to like & getrecommendations! Published in 2018 at "Multidimensional Systems and Signal Processing"
DOI: 10.1007/s11045-017-0496-6
Abstract: Forgery involving region duplication is one of the most common types of video tampering. However, few algorithms have been suggested for detecting this type of forgery effectively, especially for videos to which a mirroring operation… read more here.
Keywords: forgery; detection; region duplication; novel passive ... See more keywords
Deep Convolutional Neural Network for Graphics Forgery Detection in Video
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DOI: 10.1007/s11277-020-07126-3
Abstract: Doctored video generation with easily accessible editing software has proved to be a major problem in maintaining its authenticity. Nowadays, deep neural networks have been recognized as an effective technique in eradicating such troubles and… read more here.
Keywords: video; deep convolutional; convolutional neural; forgery ... See more keywords
VFDHSOG: Copy-Move Video Forgery Detection Using Histogram of Second Order Gradients
Sign Up to like & getrecommendations! Published in 2021 at "Wireless Personal Communications"
DOI: 10.1007/s11277-021-08964-5
Abstract: It is a generic belief that digital video can be proffered as visual evidence in areas like politics, criminal litigation, journalism and military intelligence services. Multicamera smartphones with megapixels of resolution are a common hand-held… read more here.
Keywords: video; video forgery; forgery detection; forgery ... See more keywords
LPG: a novel approach for medical forgery detection in image transmission
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-020-01932-0
Abstract: Medical image transmission using IoT has become the hot field in the today’s world of research, but the attacks or manipulating the images, has become the real threat to the medical field. Physicians diagnose always… read more here.
Keywords: lpg novel; image; detection; forgery ... See more keywords
Effective and Efficient Pixel-level Detection for Diverse Video Copy-Move Forgery Types
Sign Up to like & getrecommendations! Published in 2022 at "Pattern Recognition"
DOI: 10.1016/j.patcog.2021.108286
Abstract: Abstract Video copy-move forgery detection (VCMFD) is a significant and greatly challenging task due to a variety of difficulties, including a huge amount of video information, diverse forgery types, rich forgery objects, and homogenous forgery… read more here.
Keywords: move forgery; video; detection; video copy ... See more keywords
Coarse-to-Fine Copy-Move Forgery Detection for Video Forensics
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DOI: 10.1109/access.2018.2819624
Abstract: 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. However,… read more here.
Keywords: forgery; video; detection; copy move ... See more keywords
An Image Copy-Move Forgery Detection Method Based on SURF and PCET
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2955308
Abstract: With the maturity of image editing software, image content has been forged frequently, posing potential threats to many critical fields. To detect forgery images effectively, this paper proposes an image copy-move forgery detection (CMFD) method… read more here.
Keywords: move forgery; copy move; method; image copy ... See more keywords
SNIS: A Signal Noise Separation-Based Network for Post-Processed Image Forgery Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3204753
Abstract: Image forgery detection has aroused widespread research interest in both academia and industry because of its potential security threats. Existing forgery detection methods achieve excellent tampered regions localization performance when forged images have not undergone… read more here.
Keywords: image forgery; forgery; forgery detection; post ... See more keywords
Improving Generalization by Commonality Learning in Face Forgery Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3146781
Abstract: This paper proposes a commonality learning strategy for face video forgery detection to improve the generalization. Considering various face forgery methods could leave certain similar forgery traces in videos, we attempt to learn the common… read more here.
Keywords: forgery; forgery detection; commonality learning; generalization ... See more keywords