A reversible data hiding scheme based on prediction-error expansion using pixel-based pixel value ordering predictor

Peyman Rahmani, G. Dastghaibyfard
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引用次数: 4

Abstract

In this paper, a reversible data hiding (RDH) scheme based on prediction-error expansion (PEE) technique is proposed. PEE-based RDH methods exploit the correlations between neighboring pixels of the cover image to predict the pixel values and then embed data into the expanded prediction-errors. Traditional predictors exploit only the neighboring pixels and do not utilize the value of to be predicted pixel. Recently, Qu and Kim developed a pixel-based pixel value ordering (PPVO) predictor, which exploit the neighboring pixels as well as the pixel value itself, then the histogram shifting technique is applied to embed data. In the scheme proposed in this paper, the PPVO predictor is modified and a PEE-based RDH scheme is developed for data embedding. The experimental results show that the proposed scheme significantly outperforms some existing schemes in terms of the embedding capacity and visual quality.
一种基于基于像素的像素值排序预测器的预测误差扩展的可逆数据隐藏方案
提出了一种基于预测误差展开技术的可逆数据隐藏(RDH)方案。基于pee的RDH方法利用覆盖图像相邻像素之间的相关性来预测像素值,然后将数据嵌入到扩展的预测误差中。传统的预测方法只利用相邻像素,不利用待预测像素的值。最近,Qu和Kim开发了一种基于像素的像素值排序(PPVO)预测器,该预测器利用相邻像素和像素值本身,然后将直方图移位技术应用于嵌入数据。在本文提出的方案中,对PPVO预测器进行了改进,并开发了一种基于pee的RDH方案用于数据嵌入。实验结果表明,所提方案在嵌入容量和视觉质量方面都明显优于现有方案。
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