Nonoverlapping Blocks Based Copy-Move Forgery Detection
Joint Authors
Source
Security and Communication Networks
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-22
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
In order to solve the problem of high computational complexity in block-based methods for copy-move forgery detection, we divide image into texture part and smooth part to deal with them separately.
Keypoints are extracted and matched in texture regions.
Instead of using all the overlapping blocks, we use nonoverlapping blocks as candidates in smooth regions.
Clustering blocks with similar color into a group can be regarded as a preprocessing operation.
To avoid mismatching due to misalignment, we update candidate blocks by registration before projecting them into hash space.
In this way, we can reduce computational complexity and improve the accuracy of matching at the same time.
Experimental results show that the proposed method achieves better performance via comparing with the state-of-the-art copy-move forgery detection algorithms and exhibits robustness against JPEG compression, rotation, and scaling.
American Psychological Association (APA)
Sun, Yu& Ni, Rongrong& Zhao, Yao. 2018. Nonoverlapping Blocks Based Copy-Move Forgery Detection. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1213870
Modern Language Association (MLA)
Sun, Yu…[et al.]. Nonoverlapping Blocks Based Copy-Move Forgery Detection. Security and Communication Networks No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1213870
American Medical Association (AMA)
Sun, Yu& Ni, Rongrong& Zhao, Yao. Nonoverlapping Blocks Based Copy-Move Forgery Detection. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1213870
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1213870