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REVERSIBLE DATA HIDING BY COMBINING LOCAL AND GLOBAL SEARCH

机译:通过结合本地和全局搜索进行可逆数据隐藏

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摘要

Finding an appropriate predictor is the first and also the most important step for the histogram shifting based reversible data hiding. Unfortunately, most predictors reported in the literature cannot be directly introduced to the embedding process. To this end, this paper proposes a hybrid predictor for histogram shifting, which not only uses the local information near a pixel, but also utilizes the global information of the whole image. In addition, we design an estimation function which enables the use of sorting. As a result, the embedding performance is significantly improved. The superiority of the proposed data hiding method is finally experimentally verified by comparing with four state-of-the-art methods.
机译:对于基于直方图移位的可逆数据隐藏,找到合适的预测变量是第一步,也是最重要的一步。不幸的是,文献中报道的大多数预测变量无法直接引入到嵌入过程中。为此,本文提出了一种用于直方图移位的混合预测器,该预测器不仅使用像素附近的局部信息,而且还利用整个图像的全局信息。此外,我们设计了一个估计功能,可以使用排序。结果,显着改善了嵌入性能。最后,通过与四种最新方法进行比较,对所提出的数据隐藏方法的优越性进行了实验验证。

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