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A Markov-based reversible data hiding method based on histogram shifting

机译:基于直方图移位的基于马尔可夫的可逆数据隐藏方法

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摘要

Applying information theory, this work considers an image as a stream of symbols emitted by a Markov information source. With the Markov model, a reversible data-hiding scheme based on the histogram modification technique is proposed to provide an efficient tradeoff between hiding capacity and quality of a marked image by changing the order of the Markov model. The larger the order is, the higher the capacity is but the lower the quality is, and vice versa. The experimental results show that the proposed scheme yields not only much larger hiding capacity but also smaller image distortion than other reversible data-hiding schemes reported in the literature. This work also proposes two feasible approaches to reduce the overhead yielded during the data embedding.
机译:应用信息论,这项工作将图像视为由马尔可夫信息源发出的符号流。在马尔可夫模型的基础上,提出了一种基于直方图修改技术的可逆数据隐藏方案,通过改变马尔可夫模型的阶数,在隐藏能力和标记图像的质量之间进行了有效的权衡。阶数越大,容量越高,但质量越低,反之亦然。实验结果表明,与文献中报道的其他可逆数据隐藏方案相比,该方案不仅具有更大的隐藏能力,而且图像失真也较小。这项工作还提出了两种可行的方法来减少数据嵌入期间产生的开销。

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