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- W2093243130 abstract "Most of the methods need to build a sophisticated classifier to detect the image tamper which leads the lower detection efficiency. For this problem, we propose a method based on artifacts detection techniques in the process produces of CFA, which includes one based on CFA pattern number estimation and the other noise analysis based on CFA. The techniques are based on computing a single feature and a simple threshold based on classifier, determine whether the mosaic artifacts of the CFA was changed. The experimental results show that, the proposed approach has higher performance." @default.
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- W2093243130 date "2014-01-01" @default.
- W2093243130 modified "2023-09-27" @default.
- W2093243130 title "Image Tamper Blind Detection Based on CFA" @default.
- W2093243130 cites W2096754397 @default.
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- W2093243130 doi "https://doi.org/10.4028/www.scientific.net/amm.496-500.2237" @default.
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