Image authentication based on perceptual hash using Gabor filters |
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Authors: | Lina Wang Xiaqiu Jiang Shiguo Lian Donghui Hu Dengpan Ye |
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Affiliation: | (1) School of Computer Science, Wuhan University, 430072 Wuhan, Hubei, China;(2) The Key Laboratory of Aerospace Information Security and Trust Computing, Ministry of Education, 430072 Wuhan, Hubei, China;(3) HCI Lab, France Telecom R&D Beijing, 100080 Beijing, China;(4) School of Computer Science and Information, Hefei University of Technology, 230009 Hefei, China; |
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Abstract: | Image authentication is an important topic in image forensics, which tells whether an image is tampered or not or even tells
the tampered regions. To implement image authentication, image hash techniques have been reported recently. In this paper,
we investigate existing image hash algorithms, and design an novel image hash based on human being's visual system. In this
algorithm, we capture the perceptual characters of the image using Gabor filter which can sense the directions in the image
just like human’s primary visual cortex. For a given image, we compute the reference scale, direction and block to make sure
the final hash can resist against rotation, scale, and translation attacks while maintain the sensitivity to local malicious
manipulations. In addition, it has another promising ability to locate the tampered image blocks, and approximately determining
the type of tampering methods (delete, add, modify) and the original direction of each block. This ability is very useful
in forensics. The experimental results show that the strategy of the reference metrics works quite well and our method is
much more effective than the other state of art image hash methods. Moreover, our method can still locate the content-altering
changes even undergo some content-preserving manipulations. |
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