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Prediction-error of Prediction Error (PPE)-based Reversible Data Hiding

机译:基于预测误差(ppE)的可逆数据隐藏预测误差

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摘要

This paper presents a novel reversible data hiding (RDH) algorithm forgray-scaled images, in which the prediction-error of prediction error (PPE) ofa pixel is used to carry the secret data. In the proposed method, the pixels tobe embedded are firstly predicted with their neighboring pixels to obtain thecorresponding prediction errors (PEs). Then, by exploiting the PEs of theneighboring pixels, the prediction of the PEs of the pixels can be determined.And, a sorting technique based on the local complexity of a pixel is used tocollect the PPEs to generate an ordered PPE sequence so that, smaller PPEs willbe processed first for data embedding. By reversibly shifting the PPE histogram(PPEH) with optimized parameters, the pixels corresponding to the altered PPEHbins can be finally modified to carry the secret data. Experimental resultshave implied that the proposed method can benefit from the prediction procedureof the PEs, sorting technique as well as parameters selection, and thereforeoutperform some state-of-the-art works in terms of payload-distortionperformance when applied to different images.
机译:针对灰度图像,提出了一种新颖的可逆数据隐藏(RDH)算法,该算法将像素的预测误差(PPE)的预测误差用于携带秘密数据。在提出的方法中,首先将要嵌入的像素与它们的相邻像素进行预测以获得对应的预测误差(PE)。然后,通过利用相邻像素的PE,可以确定像素的PE的预测。然后,使用基于像素局部复杂度的排序技术来收集PPE以生成有序的PPE序列,从而减小PPE将首先进行处理以进行数据嵌入。通过使用优化参数可逆地移动PPE直方图(PPEH),可以最终修改与更改后的PPEHbin相对应的像素以携带秘密数据。实验结果表明,所提出的方法可以从PE的预测过程,分类技术以及参数选择中受益,因此在应用于不同图像时,其有效载荷失真性能要优于一些最新技术。

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