Results 11 to 20 of about 9,242 (179)
An Evaluation of Popular Copy-Move Forgery Detection Approaches
IEEE Transactions on Information Forensics and Security, 2012 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
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Robust Detection and Localization of Image Copy-Move Forgery Using Multi-Feature Fusion [PDF]
Journal of ImagingCopy-move forgery detection (CMFD) is a crucial image forensics analysis technique. The rapid development of deep learning algorithms has led to impressive advancements in CMFD.
Kaiqi Lu, Qiuyu Zhang
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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
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Method for Image Forgery Detection Based on Deformable Self-Correlation Network [PDF]
Jisuanji gongcheng, 2021 The deep learning-based copy-move forgery detection methods ignore the spatial layout of the features, leading to a reduction in the detection performance for small-region forgery samples.Additionally,the fixed size of the receptive fields in ...
LIANG Peng, WU Yuting, ZHAO Huimin, LI Chunying, HE Wa, LI Shaofa
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Unveiling Copy-Move Forgeries: Enhancing Detection With SuperPoint Keypoint Architecture
IEEE Access, 2023 The authentication of digital images poses a significant challenge due to the wide range of image forgery techniques employed, with one notable example being a copy-move forgery.
Anjali Diwan +4 more
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Image Copy-Move Forgery Detection Based on Fused Features and Density Clustering
Applied Sciences, 2023 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
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An Efficient CNN Model to Detect Copy-Move Image Forgery
IEEE Access, 2022 Recently, digital images have become used in many applications, where they have become the focus of digital image processing researchers. Image forgery represents one hot topic on which researchers prioritize their studies.
Khalid M. Hosny +3 more
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Copy Move and Splicing Image Forgery Detection using CNN [PDF]
ITM Web of Conferences, 2022 The boom of digital images coupled with the development of approachable image manipulation software has made image tampering easier than ever. As a result, there is massive increase in number of forged or falsified images that represent incorrect or ...
Mallick Devjani +3 more
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Copy Move Forgery Detection with Quadtree Decomposition Segmentation
2020 43rd International Conference on Telecommunications and Signal Processing (TSP), 2020 The increasing usage of digital images and the wide availability of easy-to-use image editors have made the authenticity of images questionable. Copy-move is one of the most applied forgery types. The keypoint-based copy move forgery detection methods in the literature cannot detect forgeries with smooth regions. In this paper to overcome this problem,
Muzaffer, Gul +2 more
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The detection of copy move forgery image methodologies
Measurement: Sensors, 2023 In every area that uses digital photos, image security is a major concern. Photos of suspects, crime scene photos, biometric photographs, and other images have long been used in forensic investigations and public safety.
Shahad Lateef abdulwahid
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