Image Alignment-Based Multi-Region Matching for Object-Level Tampering Detection
Chi-Man Pun1; Caiping Yan1; Xiao-Chen Yuan2
2016-10-05
Source PublicationIEEE Transactions on Information Forensics and Security
ISSN1556-6013
Volume12Issue:2Pages:377-391
Abstract

Tampering detection methods based on image hashing have been widely studied with continuous advancements. However, most existing models cannot generate object-level tampering localization results, because the forensic hashes attached to the image lack contour information. In this paper, we present a novel tampering detection model that can generate an accurate, object-level tampering localization result. First, an adaptive image segmentation method is proposed to segment the image into closed regions based on strong edges. Then, the color and position features of the closed regions are extracted as a forensic hash. Furthermore, a geometric invariant tampering localization model named image alignment-based multi-region matching (IAMRM) is proposed to establish the region correspondence between the received and forensic images by exploiting their intrinsic structure information. The model estimates the parameters of geometric transformations via a robust image alignment method based on triangle similarity; in addition, it matches multiple regions simultaneously by utilizing manifold ranking based on different graph structures and features. Experimental results demonstrate that the proposed IAMRM is a promising method for object-level tampering detection compared with the state-of-the-art methods.

KeywordImage Alignment Image Hashing Multi-region Matching Object-level Tampering Detection
DOI10.1109/TIFS.2016.2615272
URLView the original
Indexed BySCIE
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000389350600010
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Citation statistics
Cited Times [WOS]:12   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Department of Computer and Information Science, University of Macau, Macau 999078, China
2.Faculty of Information Technology, Macau University of Science and Technology, Macau 999078, China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Chi-Man Pun,Caiping Yan,Xiao-Chen Yuan. Image Alignment-Based Multi-Region Matching for Object-Level Tampering Detection[J]. IEEE Transactions on Information Forensics and Security,2016,12(2):377-391.
APA Chi-Man Pun,Caiping Yan,&Xiao-Chen Yuan.(2016).Image Alignment-Based Multi-Region Matching for Object-Level Tampering Detection.IEEE Transactions on Information Forensics and Security,12(2),377-391.
MLA Chi-Man Pun,et al."Image Alignment-Based Multi-Region Matching for Object-Level Tampering Detection".IEEE Transactions on Information Forensics and Security 12.2(2016):377-391.
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