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An efficient multiple-bit reversible data hiding scheme without shifting

机译:一种高效的多位可逆数据隐藏方案,无需移位

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For the past few years, the data-hiding schemes are growing rapidly. Generally, data hiding performs well on common images but it does not provide satisfying results on distortion sensitive images such as medical, military, or forensic images. This is because embedding data into an image can cause permanent distortion after extraction (irreversible). As a solution, a certain scheme is required for the process of embedding data into an image, such as reversible data hiding (RDH). One well-known RDH scheme is difference expansion (DE), which is simple, easy to implement. Due to the local correlation between two neighboring pixels, conventional DE-based schemes utilize some empirical criteria to embed one bit into one of the pixels, which does not fully consider the correlations of pixels in neighborhood. In this study, an efficient multiple-bit reversible data hiding scheme without shifting (EMRDH), is proposed, focusing on increasing capacity and visual quality of data hiding. Firstly, a pixel is taken as an embeddable pixel (EP)or a non-embeddable pixel (NEP) according to its relations with the left and right neighbors, and then the EP is substituted with a new pixel consisting of flag-bits, offset-bits and embedding bits, without the difference histogram and expansion processes. With the flag-bits and embedding bits, the embedded data can be extracted without any error while the EP or NEP can be losslessly recovered with the flag-bits, offset-bits. Experimental results show that the proposed scheme has higher capacity, better visual quality and lower computational complexity compared with previous works.
机译:在过去的几年中,数据隐藏方案正在迅速发展。通常,数据隐藏在普通图像上表现良好,但在诸如医学,军事或法医图像之类的失真敏感图像上却无法提供令人满意的结果。这是因为将数据嵌入图像中可能导致提取后永久失真(不可逆)。作为解决方案,对于将数据嵌入图像中的过程需要某种方案,例如可逆数据隐藏(RDH)。一种众所周知的RDH方案是差异扩展(DE),它简单,易于实现。由于两个相邻像素之间的局部相关性,传统的基于DE的方案利用一些经验标准将一位嵌入到一个像素中,这并未完全考虑邻域中像素的相关性。在这项研究中,提出了一种有效的不移位的多位可逆数据隐藏方案(EMRDH),重点是提高数据隐藏的容量和视觉质量。首先,根据像素与左右邻居的关系,将其作为可嵌入像素(EP)或不可嵌入像素(NEP),然后将EP替换为由标志位,偏移量组成的新像素位和嵌入位,而无需差异直方图和扩展过程。使用标志位和嵌入位,可以提取嵌入数据而没有任何错误,而可以使用标志位,偏移位无损地恢复EP或NEP。实验结果表明,与以前的工作相比,该方案具有更高的容量,更好的视觉质量和更低的计算复杂度。

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