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Multi-scale image hashing using adaptive local feature extraction for robust tampering detection
Yan C.-P.; Pun C.-M.; Yuan X.-C.
2015-11-10
Source PublicationSignal Processing
ISSN01651684
Volume121Pages:1-16
Abstract

The main problem addressed in this paper is the robust tampering detection of the image received in a transmission under various content-preserving attacks. To this aim the multi-scale image hashing method is proposed by using the location-context information of the features generated by adaptive and local feature extraction techniques. The generated hash is attached to the image before transmission and analyzed at destination to filter out the geometric transformations occurred in the received image by image restoration firstly. Based on the restored image, the image authentication using the global and color hash component is performed to determine whether the received image has the same contents as the trusted one or has been maliciously tampered, or just different. After regarding the received image as being tampered, the tampered regions will be localized through the multi-scale hash component. Lots of experiments are conducted to indicate that our tampering detection scheme outperforms the existing state-of-the-art methods and is very robust against the content-preserving attacks, including both common signal processing and geometric distortions.

KeywordAdaptive Feature Point Detection Image Authentication Multi-scale Image Hashing Tampering Detection
DOI10.1016/j.sigpro.2015.10.027
URLView the original
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000369193600001
PublisherELSEVIER SCIENCE BV
Fulltext Access
Citation statistics
Cited Times [WOS]:23   [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 SAR, 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.. Multi-scale image hashing using adaptive local feature extraction for robust tampering detection[J]. Signal Processing,2015,121:1-16.
APA Yan C.-P.,Pun C.-M.,&Yuan X.-C..(2015).Multi-scale image hashing using adaptive local feature extraction for robust tampering detection.Signal Processing,121,1-16.
MLA Yan C.-P.,et al."Multi-scale image hashing using adaptive local feature extraction for robust tampering detection".Signal Processing 121(2015):1-16.
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