Detecting copy-move forgery under affine transforms for image forensics

[Display omitted] •Polar Harmonic Transform is used to detect image copy-move forgery under affine transforms.•Circular domain feature extraction improves detection accuracy.•Marking the innermost pixels produces fine boundary of the detected region.•Post-processing filter eliminates the false detec...

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Bibliographic Details
Published inComputers & electrical engineering Vol. 40; no. 6; pp. 1951 - 1962
Main Authors Li, Leida, Li, Shushang, Zhu, Hancheng, Wu, Xiaoyue
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.08.2014
Subjects
Circularity
Electrical engineering
Forges
Image detection
Invariants
Mathematical analysis
Reproduction
Transforms
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Summary:[Display omitted] •Polar Harmonic Transform is used to detect image copy-move forgery under affine transforms.•Circular domain feature extraction improves detection accuracy.•Marking the innermost pixels produces fine boundary of the detected region.•Post-processing filter eliminates the false detections. In copy-move forgery, the copied region may be rotated and/or scaled to fit the scene better. Most of the existing methods fail when the region is subject to affine transforms. This paper presents a method for detecting this kind of image tampering based on circular pattern matching. The image is first filtered and divided into circular blocks. A rotation and scaling invariant feature is then extracted from each block using Polar Harmonic Transform (PHT). The feature vectors are then lexicographically sorted, and the forged regions are detected by finding the similar block pairs after proper post-processing. Experimental results demonstrate the efficiency of the method.
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ISSN:0045-7906
1879-0755
DOI:10.1016/j.compeleceng.2013.11.034