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High-fidelity reversible data hiding based on pixel-value-ordering and pairwise prediction-error expansion

机译:基于像素值排序和成对预测误差扩展的高保真可逆数据隐藏

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Pixel-value-ordering (PVO) technique refers to the process of first ranking the pixels in a block and then modifying the maximum/minimum for reversible data hiding (RDH). This paper discusses the PVO embedding in two-dimensional (2D) space and utilizes the prediction-error pair within a block for data embedding. We focus on not only the exploitation of conventional PVO embedding but also its effective implementation in 2D form. The PVO embedding is extended into a 2D form by integrating the pairwise prediction-error expansion, and a reversible 2D mapping adapted to the special distribution of prediction-error pairs is proposed. Moreover, an adaptive mapping selection mechanism is proposed to treat separately rough and smooth prediction-error pairs to further optimize the embedding performance. Experimental results show that the proposed method outperforms the previous PVO-based methods. (C) 2016 Elsevier Inc. All rights reserved.
机译:像素值排序(PVO)技术是指首先对块中的像素进行排名,然后修改最大/最小以进行可逆数据隐藏(RDH)的过程。本文讨论了二维(2D)空间中的PVO嵌入,并利用块内的预测误差对进行数据嵌入。我们不仅关注传统PVO嵌入的开发,还关注其以2D形式的有效实现。通过集成成对的预测误差扩展将PVO嵌入扩展为2D形式,并提出了一种适用于预测误差对的特殊分布的可逆2D映射。此外,提出了一种自适应映射选择机制来分别处理粗糙和平滑的预测误差对,以进一步优化嵌入性能。实验结果表明,该方法优于基于PVO的方法。 (C)2016 Elsevier Inc.保留所有权利。

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