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Recognizing substitution steganography of spatial domain based on the characteristics of pixels correlation

机译:基于像素相关性特征的空间域替代隐写术

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摘要

Steganographic algorithm recognition is currently a key issue in digital image steganalysis. For the typical substitution steganographic algorithm in spatial domain, we analyze the modification way and construct the feature extraction source based on the adjacent pixels correlation; extract the special statistical feature which could distinguish the substitution steganography from other types of steganographic algorithms. Finally, a substitution steganography recognition algorithm is presented and tested by experiments. The experimental results show that, the proposed algorithm could recognize the substitution steganography in spatial domain efficiently, and the detection accuracy is better than existing algorithms.
机译:隐写算法识别是当前数字图像隐写分析中的关键问题。对于典型的空间域替换隐写算法,分析了其修改方式,并基于相邻像素的相关性构造特征提取源。提取特殊的统计特征,该特征可以将替代隐写术与其他类型的隐写术算法区分开。最后,提出了一种替代隐写术识别算法,并通过实验进行了测试。实验结果表明,该算法能有效识别空间上的隐写隐写术,检测精度优于现有算法。

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