An efficient method for image forgery detection based on trigonometric transforms and deep learning
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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
PhotoHolmes: a Python library for forgery detection in digital images
Sign Up to like & getrecommendations! Published in 2024 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-025-20626-3
Abstract: In this paper, we introduce PhotoHolmes, an open-source Python library designed to easily run and benchmark forgery detection methods on digital images. The library includes implementations of popular and state-of-the-art methods, dataset integration tools, and… read more here.
Keywords: photoholmes python; forgery detection; python library; forgery ... See more keywords
A novel passive forgery detection algorithm for video region duplication
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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
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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
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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
CNN-Keypoint Based Two-Stage Hybrid Approach for Copy-Move Forgery Detection
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DOI: 10.1109/access.2024.3380460
Abstract: Authenticating digital images poses a significant challenge due to the widespread use of image forgery techniques, including copy-move forgery. Copy-move forgery involves copying and pasting portions of an image within the same image while applying… read more here.
Keywords: copy move; approach; forgery; move forgery ... See more keywords