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首页> 外文会议>IEEE International Conference on Green Computing and Communications;IEEE International Conference on Internet of Things;IEEE International Conference on Cyber, Physical and Social Computing;IEEE International Conference on Smart Data;IEEE Congress on Cybermatics >Reversible Data Hiding Algorithm with High Imperceptibility Based on Histogram Shifting
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Reversible Data Hiding Algorithm with High Imperceptibility Based on Histogram Shifting

机译：基于直方图移位的高易察查数据隐藏算法

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摘要

Histogram shifting based reversible data hiding (RDH) algorithm embeds the secret messages into the peak point (with the highest frequency) in the image histogram. Using RDH however results in the number of peak points in the histogram to drop by half of its original quantity, thus results in depression of the image histogram. This significantly affects the imperceptibility of the secret message. To address this issue, in this paper we propose an RDH algorithm with high imperceptibility in which the embedding point (the grayscale value corresponds to the pixels embedded secret message) in the image histogram is selected based on the length of the secret message and the specific pixels to embed the secret message are chosen by taking into account the value of their adjacent pixels. The adjustment made to the quantity of embedding point and its surrounding points in the histogram causes the number of pixels to have a smooth transition around the embedding point in the histogram. This significantly enhances imperceptibility. Experimental results confirm the effectiveness of the proposed algorithm.
机译：基于直方图转换的可逆数据隐藏（RDH）算法将秘密消息嵌入图像直方图中的峰值点（具有最高频率）。然而，使用RDH导致直方图中的峰值的数量下降到其原始量的一半，因此导致图像直方图的凹陷。这显着影响了秘密信息的难忘性。为了解决这个问题，在本文中，我们提出了一种具有高难以察觉率的RDH算法，其中基于秘密消息的长度和特定的嵌入点（灰度值对应于图像直方图中的像素嵌入秘密消息）。通过考虑其相邻像素的值，选择要嵌入秘密消息的像素。对直方图中的嵌入点数量及其周围点的调整导致像素的数量在直方图中围绕嵌入点具有平滑的转换。这显着提高了难以察觉。实验结果证实了该算法的有效性。

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