Results 1 to 10 of about 186 (112)
Keypoint based comprehensive copy‐move forgery detection [PDF]
IET Image Processing, 2021 Verifying the authenticity of a digital image has been challenging problem. The simplest of the image tampering tricks is the copy‐move forgery. In copy‐move forgery copied portion of the image is pasted on another part of the same image.
Anjali Diwan +3 more
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An Evaluation of Popular Copy-Move Forgery Detection Approaches [PDF]
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.
Vincent Christlein +2 more
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CNN-Keypoint Based Two-Stage Hybrid Approach for Copy-Move Forgery Detection
IEEE AccessAuthenticating 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 ...
Anjali Diwan, Anil K. Roy
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Copy-move forgery detection based on convolutional kernel network [PDF]
Multimedia Tools and Applications, 2017 26 pages, 8 figures, submitted to Multimedia Tools and ...
Yaqi Liu +2 more
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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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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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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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On rotation invariance in copy-move forgery detection [PDF]
2010 IEEE International Workshop on Information Forensics and Security, 2010 The goal of copy-move forgery detection is to find duplicated regions within the same image. Copy-move detection algorithms operate roughly as follows: extract blockwise feature vectors, find similar feature vectors, and select feature pairs that share highly similar shift vectors.
Vincent Christlein +2 more
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Structural Correlation Based Method for Image Forgery Classification and Localization
Applied Sciences, 2020 In the image forgery problems, previous works has been chiefly designed considering only one of two forgery types: copy-move and splicing. In this paper, we propose a scheme to handle both copy-move and splicing image forgery by concurrently classifying ...
Nam Thanh Pham +2 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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