针对传统的LSB算法对直方图影响明显的缺点,通过对LSB嵌入过程中直方图变化和马尔可夫安全模型的研究,提出一种基于直方图对的LSB改进算法.该算法以DCT量化后相邻灰度值像素对为对象进行成对LSB嵌入,同时对超过最大嵌入容量的剩余系数进行基于马尔可夫安全性模型的嵌入.实验结果表明,该算法在具有较大嵌入容量的同时,有效地保持了直方图特性,提高了算法的抗统计分析性能.%For the shortcomings of an obvious influence on the histogram of the image in the traditional LSB(least significant bit)algorithm,this article put forward a kind of improved histogram groups based algorithm through the research about the histogram change in the LSB embedding process and the Markov security model.The algorithm embedded by pairs of two adjacent gray value pixels after the DCT quantization,and then embedded the left coefficients according to the Markov security.Experimentalresults indicate that this method ensures a larger embedding capacity,keeps the histogram characteristics effectively and improves the statistics and analysis performance.
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