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Unmasking digital deceptions: An integrative review of deepfake detection, multimedia forensics, and cybersecurity challenges. [PDF]
Singh S, Dhumane A.
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Copy-move forgery detection based on hybrid features
Engineering Applications of Artificial Intelligence, 2017Abstract Copy-move forgery is one of the most popular tampering artifacts in digital images. Most existing keypoint-based detection methods may fail to precisely locate duplicated regions because there are not enough correct matched points. In this paper, a novel copy-move forgery detection method is proposed based on hybrid features.
Wei Lu, Jian Weng
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Adaptive matching for copy-move Forgery detection
2014 IEEE International Workshop on Information Forensics and Security (WIFS), 2014The objective of copy-move forgery detection methods are to find copied regions within the same image. There are two main approaches to detect copy-move forgery: keypoint-based and block-based methods. Although the former is superior in terms of computational complexity, these methods neglect the smooth regions since they confine their search to ...
Mohsen Zandi +2 more
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Copy Move Forgery Detection based on double matching
Journal of Visual Communication and Image Representation, 2021Abstract Copy Move is a technique widespreadly used in digital image tampering, meaning Copy Move Forgery Detection (CMFD) is still a significant research. In this paper, a novel CMFD method is proposed, including double matching process and region localizing process.
Qiyue Lyu +5 more
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Copy move forgery detection based on LBP
2013 21st Signal Processing and Communications Applications Conference (SIU), 2013Increase on the availability of the image editing tools makes it easy to create digital forgeries. More popular forgery in image manipulation is the copy move forgery where part of an image is copied into another location to hide an object. The methods that are used to detect the copy move forgery in images have a drawback. Length of the feature vector
Güzin Ulutas +2 more
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Security of copy-move forgery detection techniques
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011Copy-move forgery is a specific form of image tampering, where a part of a digital image is copied and pasted into a different part of the same image. There are many copy-move forgery detection techniques, but their security has not been examined in detail. In this paper, we analyze the robustness and security of the detection techniques of Fridrich [1]
Hieu Cuong Nguyen +1 more
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Copy-move forgery detection based on PatchMatch
2014 IEEE International Conference on Image Processing (ICIP), 2014In this work we propose a new algorithm for copy-move forgery detection and localization, based on the fast computation of a dense nearest-neighbor field. To this end, we use PatchMatch, an iterative randomized algorithm for nearest-neighbor search, which exploits the regularity of natural images to converge very rapidly to a near-optimal and smooth ...
COZZOLINO, DAVIDE +2 more
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Copy-move forgery detection based on multifractals
Multimedia Tools and Applications, 2019Digital images and video are the basic media for communication nowadays. They are used as authenticated proofs or corroboratory evidence in different areas like: forensic studies, law enforcement, journalism and others. With development of software for editing digital images, it has become very easy to change image content, add or remove important ...
Aleksandra Pavlovic +3 more
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An efficient model for copy-move image forgery detection
International Journal of Web Information Systems, 2022Purpose This study aims to solve problems of detecting copy-move images. With input images, the problem aims to: Confirm the original or forgery of the images, evaluate the performance of the detection and compare the proposed method’s effectiveness to the related ones.
Kha-Tu Huynh, Tu-Nga Ly, Thuong Le-Tien
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Rotation robust detection of copy-move forgery
2010 IEEE International Conference on Image Processing, 2010Copy-move tampering is a common type of image synthesizing, where a part of an image is copied and pasted to another place to add or remove an object. In this paper, an efficient algorithm based on the Fourier-Mellin Transform is proposed with features extracted along radius direction. Also, to reduce computational cost, a link processing is introduced
Weihai Li, Nenghai Yu
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