Journal
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
Volume 8, Issue 8, Pages 1355-1370Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIFS.2013.2272377
Keywords
Copy-move detection; duplicated region localization; locality sensitive hashing; Zernike moments
Funding
- Defense Acquisition Program Administration and Agency for Defense Development [UD060048AD]
- Korean government (MEST) [2012R1A2A1A05026327]
- International Computer Science Institute in Berkeley, CA, USA
- German Academic Exchange Service (DAAD)
- National Research Foundation of Korea [2012R1A2A1A05026327] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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This paper proposes a forensic technique to localize duplicated image regions based on Zernike moments of small image blocks. We exploit rotation invariance properties to reliably unveil duplicated regions after arbitrary rotations. We devise a novel block matching procedure based on locality sensitive hashing and reduce false positives by examining the moments' phase. A massive experimental test setup benchmarks our algorithm against state-of-the-art methods under various perspectives, examining both pixel-level localization and image-level detection performance. By taking signal characteristics into account and distinguishing between textured and smooth duplicated regions, we find that the proposed method outperforms prior art in particular when duplicated regions are smooth. Experiments indicate high robustness against JPEG compression, blurring, additive white Gaussian noise, and moderate scaling.
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