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We describe an efficient technique that automatically detects
duplicated regions in a digital image. This technique works by first
applying a principal component analysis to small fixed-size image
blocks to yield a reduced dimension representation. This
representation is robust to minor variations in the image due to
additive noise or lossy compression. Duplicated regions are then
detected by lexicographically sorting all of the image blocks. We show
the efficacy of this technique on credible forgeries, and quantify its
robustness and sensitivity to additive noise and lossy JPEG
Bibliographic citation for this report: [plain text] [BIB] [BibTeX] [Refer]
Or copy and paste:
Alin C. Popescu and Hany Farid, "Exposing Digital Forgeries by Detecting Duplicated Image Regions ." Dartmouth Computer Science Technical Report TR2004-515, August 2004.
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