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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >Reversible data hiding exploiting spatial correlation between sub-sampled images
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Reversible data hiding exploiting spatial correlation between sub-sampled images

机译:利用子采样图像之间的空间相关性进行可逆数据隐藏

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摘要

Reversible data hiding enables host media to be restored from marked media without any loss of host information. Since this reversibility helps to make right decision during image analysis, it is highly desired in quality-sensitive imagery where even the minimal distortion introduced by embedding data is unacceptable. In this paper, we propose a reversible data hiding method that modifies the difference histogram between sub-sampled images. It exploits the high spatial correlation inherent in neighboring pixels to achieve high capacity and imperceptible embedding. On various test images including 16-bit images, we demonstrate the validity of our proposed method by comparing to other existing reversible data hiding algorithms. Experimental results support that our method provides high embedding capacity while keeping the distortions at a low level.
机译:可逆数据隐藏使主机介质可以从已标记的介质中还原,而不会丢失主机信息。由于这种可逆性有助于在图像分析过程中做出正确的决定,因此在对质量敏感的图像中,甚至通过嵌入数据引入的最小失真也是不可接受的,因此非常需要此功能。在本文中,我们提出了一种可逆数据隐藏方法,该方法可修改子采样图像之间的差异直方图。它利用相邻像素固有的高空间相关性来实现高容量和难以察觉的嵌入。在包括16位图像的各种测试图像上,我们通过与其他现有的可逆数据隐藏算法进行比较来证明我们提出的方法的有效性。实验结果支持我们的方法提供高嵌入能力,同时将失真保持在较低水平。

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