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High capacity reversible data hiding based on histogram shifting for medical images

机译:基于直方图移位的医学图像大容量可逆数据隐藏

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This paper presents a modified histogram shifting algorithm for reversible medical image watermarking to increase the hiding capacity. It is based on hierarchically dividing a cover image into smaller blocks for data embedding using the histogram shifting technique. To yield an optimal data hiding result, a technique for recursive looking-ahead estimation of the maximum data hiding volume at the lowest level of the block-division tree structure is used. The block divisions are performed and optimal division is selected based on the hiding capacity. A modified block division scheme is chosen for the medical images having large dark areas. In this method high data hiding capacity and high stego-image quality are achieved.
机译:本文提出了一种改进的直方图移位算法,用于可逆医学图像水印,以增加隐藏能力。它基于使用直方图移位技术将封面图像分层划分为较小的块以进行数据嵌入的功能。为了产生最佳的数据隐藏结果,使用了一种用于在块划分树结构的最低级别上对最大数据隐藏量进行递归前瞻估计的技术。执行块划分,并根据隐藏容量选择最佳划分。为具有较大暗区的医学图像选择改进的块划分方案。通过这种方法,可以实现较高的数据隐藏能力和较高的隐蔽图像质量。

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