Fractional Quaternion Zernike Moments for Robust Color Image Copy-Move Forgery Detection
In this paper, fractional Zernike moments (FrZMs) for complex signals are generalized to fractional quaternion Zernike moments (FrQZMs) for quaternion signal processing in a holistic manner by the quaternion algebra. We first present the definition of FrQZMs and an efficient implementation algorithm...
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| Published in | IEEE access Vol. 6; pp. 56637 - 56646 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Piscataway
IEEE
2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| Online Access | Get full text |
| ISSN | 2169-3536 2169-3536 |
| DOI | 10.1109/ACCESS.2018.2871952 |
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| Abstract | In this paper, fractional Zernike moments (FrZMs) for complex signals are generalized to fractional quaternion Zernike moments (FrQZMs) for quaternion signal processing in a holistic manner by the quaternion algebra. We first present the definition of FrQZMs and an efficient implementation algorithm for speeding up the computation of FrQZMs through FrZMs of each component of the quaternion signal. The performance of the proposed FrQZMs is evaluated by considering robust color image copy-move forgery detection. The proposed robust copy-move forgery-detection algorithm considers the FrQZMs as a feature and a modified PatchMatch algorithm as a feature matching algorithm. Experimental results on two publicly available data sets (FAU and GRIP data set) have demonstrated that the proposed FrQZM-based algorithm can achieve an overall better performance than the state-of-the-art algorithms, especially in some additional operation cases. |
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| AbstractList | In this paper, fractional Zernike moments (FrZMs) for complex signals are generalized to fractional quaternion Zernike moments (FrQZMs) for quaternion signal processing in a holistic manner by the quaternion algebra. We first present the definition of FrQZMs and an efficient implementation algorithm for speeding up the computation of FrQZMs through FrZMs of each component of the quaternion signal. The performance of the proposed FrQZMs is evaluated by considering robust color image copy-move forgery detection. The proposed robust copy-move forgery-detection algorithm considers the FrQZMs as a feature and a modified PatchMatch algorithm as a feature matching algorithm. Experimental results on two publicly available data sets (FAU and GRIP data set) have demonstrated that the proposed FrQZM-based algorithm can achieve an overall better performance than the state-of-the-art algorithms, especially in some additional operation cases. |
| Author | Shim, Hiuk Jae Chen, Beijing Su, Qingtang Yu, Ming Shi, Yun-Qing |
| Author_xml | – sequence: 1 givenname: Beijing orcidid: 0000-0002-2506-0427 surname: Chen fullname: Chen, Beijing email: nbutimage@126.com organization: Jiangsu Engineering Center of Network Monitoring, School of Computer & Software, Nanjing University of Information Science and Technology, Nanjing, China – sequence: 2 givenname: Ming surname: Yu fullname: Yu, Ming organization: Jiangsu Engineering Center of Network Monitoring, School of Computer & Software, Nanjing University of Information Science and Technology, Nanjing, China – sequence: 3 givenname: Qingtang surname: Su fullname: Su, Qingtang organization: School of Information Science and Engineering, Ludong University, Yantai, China – sequence: 4 givenname: Hiuk Jae surname: Shim fullname: Shim, Hiuk Jae organization: Jiangsu Engineering Center of Network Monitoring, School of Computer & Software, Nanjing University of Information Science and Technology, Nanjing, China – sequence: 5 givenname: Yun-Qing surname: Shi fullname: Shi, Yun-Qing organization: Jiangsu Engineering Center of Network Monitoring, School of Computer & Software, Nanjing University of Information Science and Technology, Nanjing, China |
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| SubjectTerms | Algorithms Color color image Color imagery Datasets Feature extraction Forgery fractional Zernike moments image forgery detection Quaternion Quaternions Robustness Signal processing Signal processing algorithms Transforms |
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| Title | Fractional Quaternion Zernike Moments for Robust Color Image Copy-Move Forgery Detection |
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