基于改进菱形预测法的可逆数据隐藏

Simi Lu, X. Liao, Nankun Mu, Jiahui Wu, Junqing Le
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引用次数: 1

摘要

可逆数据隐藏(RDH)是信息隐藏领域的研究热点。其中,基于直方图移位(HS)的RDH算法是一种高性能算法。准确的像素预测可以在保持高容量的同时减少图像失真。因此,本文提出了一种基于改进菱形预测方法的RDH算法。实验表明,改进的菱形预测方法可以更准确地预测像素,生成的预测误差直方图更加紧凑和清晰。所提出的RDH算法具有较高的嵌入容量和较低的失真率。
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Reversible Data Hiding Based on Improved Rhombus Prediction Method
Reversible data hiding(RDH) is a research hotspot in the field of information hiding. Among them, RDH based on histogram shift(HS) is a high performance algorithm. Accurate pixel prediction can reduce image distortion while maintaining high capacity. Therefore, this paper proposes an RDH algorithm based on the improved rhombus prediction method. Experiments show that the improved rhombus prediction method can predict pixels more accurately, and the generated prediction error histogram is more compact and clear. The proposed RDH algorithm has a higher embedding capacity and a lower distortion rate.
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