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• W2007994675 abstract "This paper proposes a novel steganalyzer for detecting one of the most popular steganography, LSB matching (also known as “±1 embedding”). The histogram of difference image (the differences of adjacent pixels), which is usually a generalized Gaussian distribution centered at 0, is exploited for deriving statistical features. We have proved theoretically that the peak-value of the histogram would decrease after LSB matching embedding, while the renormalized histogram (the ratio of the histogram to the peak-value) would increase. Then we take the peak-value and the renormalized histogram as features for classification. Extensive experimental results show that the proposed steganalytic method outperforms some previous ones." @default.
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• W2007994675 date "2010-09-01" @default.
• W2007994675 modified "2023-09-25" @default.
• W2007994675 title "Reliable histogram features for detecting LSB matching" @default.
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• W2007994675 doi "https://doi.org/10.1109/icip.2010.5651567" @default.
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