In the most data hiding methods, the cover media is entirely distorted and it cannot be recovered when the secretive data is extracted. However, in some applications, such as medical imaging, military imaging and law enforcement, even a slight modification in the cover image is impermissible. Therefore, reversible data hiding schemes have proposed as a solution of this issue, recently. Histogram based embedding schemes are among wide investigated reversible data hiding schemes owing to the high quality of the marked images. In histogram based embedding techniques, construction of histogram greatly affects the embedding capacity and the distortion performance of schemes. In this study, the authors propose a novel reversible data hiding scheme for grey scale images. In this method, a new histogram is generated according to the differences between pixels and their neighbouring pixels values. The proposed scheme can achieve higher embedding capacity than other existing reversible data hiding algorithms in the literature by considering the same value of peak signal-to-noise ratio. Experimental and analytical results show that this scheme is successfully employed for data hiding in a wide range of images.

中文翻译：

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新颖的无失真和基于直方图的数据隐藏方案

在大多数数据隐藏方法中，封面媒体会完全变形，并且在提取秘密数据时无法恢复。但是，在某些应用程序中，例如医学成像，军事成像和执法，即使对封面图像进行轻微修改也是不允许的。因此，最近提出了可逆数据隐藏方案作为该问题的解决方案。由于标记图像的高质量，基于直方图的嵌入方案是广泛研究的可逆数据隐藏方案。在基于直方图的嵌入技术中，直方图的构造极大地影响了方案的嵌入能力和失真性能。在这项研究中，作者为灰度图像提出了一种新颖的可逆数据隐藏方案。用这种方法 根据像素及其相邻像素值之间的差异生成新的直方图。通过考虑峰值信噪比的相同值，与文献中其他现有的可逆数据隐藏算法相比，所提出的方案可以实现更高的嵌入能力。实验和分析结果表明，该方案已成功用于多种图像的数据隐藏。