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Content Provider | IEEE Xplore Digital Library |
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Author | Hieu Cuong Nguyen Katzenbeisser, S. |
Copyright Year | 2012 |
Abstract | Copy-move forgery is a popular method to create forged images, where a part of a digital image is copied and moved to a different part of the same image. There are numerous techniques to detect this type of forgery, but many of them can only detect forgeries if the images are not modified after the process of creating a forgery. In this paper, we propose a technique based on the Radon transform and phase correlation in order to improve the robustness in forgery detection. We show that the proposed technique can detect forgeries even if the forged images were underwent some image processing operations such as rotation and Gaussian noise addition. |
Starting Page | 134 |
Ending Page | 137 |
File Size | 268056 |
Page Count | 4 |
File Format | |
ISBN | 9781467317412 |
DOI | 10.1109/IIH-MSP.2012.38 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-07-18 |
Publisher Place | Greece |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Correlation Digital images copy-move forgery Feature extraction phase correlation Forgery Robustness Discrete cosine transforms Radon transformation |
Content Type | Text |
Resource Type | Article |
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