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Passive Forensics for Region Duplication Image Forgery Based on Harris Feature Points and Local Binary Patterns
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-29
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Nowadays the demand for identifying the authenticity of an image is much increased since advanced image editing software packages are widely used.
Region duplication forgery is one of the most common and immediate tampering attacks which are frequently used.
Several methods to expose this forgery have been developed to detect and locate the tampered region, while most methods do fail when the duplicated region undergoes rotation or flipping before being pasted.
In this paper, an efficient method based on Harris feature points and local binary patterns is proposed.
First, the image is filtered with a pixelwise adaptive Wiener method, and then dense Harris feature points are employed in order to obtain a sufficient number of feature points with approximately uniform distribution.
Feature vectors for a circle patch around each feature point are extracted using local binary pattern operators, and the similar Harris points are matched based on their representation feature vectors using the BBF algorithm.
Finally, RANSAC algorithm is employed to eliminate the possible erroneous matches.
Experiment results demonstrate that the proposed method can effectively detect region duplication forgery, even when an image was distorted by rotation, flipping, blurring, AWGN, JPEG compression, and their mixed operations, especially resistant to the forgery with the flat area of little visual structures.
American Psychological Association (APA)
Zhao, Jie& Zhao, Weifeng. 2013. Passive Forensics for Region Duplication Image Forgery Based on Harris Feature Points and Local Binary Patterns. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1010111
Modern Language Association (MLA)
Zhao, Jie& Zhao, Weifeng. Passive Forensics for Region Duplication Image Forgery Based on Harris Feature Points and Local Binary Patterns. Mathematical Problems in Engineering No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-1010111
American Medical Association (AMA)
Zhao, Jie& Zhao, Weifeng. Passive Forensics for Region Duplication Image Forgery Based on Harris Feature Points and Local Binary Patterns. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1010111
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010111