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Quaternion-Based Image Hashing for Adaptive Tampering Localization
Yan C.-P.; Pun C.-M.; Yuan X.-C.
2016-07-27
Source PublicationIEEE Transactions on Information Forensics and Security
ISSN15566013
Volume11Issue:12Pages:2664-2677
Abstract

Image-hashing-based tampering detection methods have been widely studied with continuous advancements. However, most of existing models are designed for a specific tampering. In this paper, we propose a novel quaternion-based image hashing to detect almost all types of tampering, including color changing, copy move, splicing, and so on. First, the quaternion Fourier-Mellin transform is used to calculate the geometric hash to eliminate the influence of geometric distortions. Then, a new quaternion image construction method, which combines advantages of both color and structural features, is proposed to implement the quaternion Fourier transform to calculate the image feature hash to locate the tampered regions. The objective is to provide a reasonably short image hashing with good performance, i.e., being perceptually robust against various content-preserving attacks while capable of detecting and locating almost all types of tampering. Furthermore, an adaptive tampering localization algorithm is proposed based on clustering analysis to improve the detection accuracy. The experimental results show that the proposed tampering detection model outperforms the existing state-of-the-art models and is very robust against various content-preserving attacks.

KeywordAdaptive Tampering Localization Image Hashing Quaternion Fourier Transform (Qft) Quaternion Fourier-mellin Transform (Qmmt)
DOI10.1109/TIFS.2016.2594136
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000386225000003
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
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Cited Times [WOS]:13   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorPun C.-M.
AffiliationDepartment of Computer and Information Science, University of Macau, Macau 999078, China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Yan C.-P.,Pun C.-M.,Yuan X.-C.. Quaternion-Based Image Hashing for Adaptive Tampering Localization[J]. IEEE Transactions on Information Forensics and Security,2016,11(12):2664-2677.
APA Yan C.-P.,Pun C.-M.,&Yuan X.-C..(2016).Quaternion-Based Image Hashing for Adaptive Tampering Localization.IEEE Transactions on Information Forensics and Security,11(12),2664-2677.
MLA Yan C.-P.,et al."Quaternion-Based Image Hashing for Adaptive Tampering Localization".IEEE Transactions on Information Forensics and Security 11.12(2016):2664-2677.
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