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- W2024136472 abstract "Image forensic analysis for the detection of contrast enhancement and other histogram-based processing, usually relies on the study of first-order statistics derived from image histogram. Methods based on such an approach, though, are easily circumvented by adopting some counter-forensic attacks. To overcome such a problem, we propose a novel forensic technique based on the study of second-order statistics derived from the co-occurrence matrix. The experiments we carried out demonstrate that the proposed approach is very effective even in the presence of counter-forensic attacks, while it retains the good performance of histogram-based methods when no attack is present." @default.
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- W2024136472 date "2015-08-01" @default.
- W2024136472 modified "2023-10-14" @default.
- W2024136472 title "Second-Order Statistics Analysis to Cope With Contrast Enhancement Counter-Forensics" @default.
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- W2024136472 doi "https://doi.org/10.1109/lsp.2015.2389241" @default.
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