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Reversible data hiding in encrypted images based on multi-level encryption and block histogram modification

机译:基于多级加密和块直方图修改的可逆数据隐藏在加密图像中

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摘要

In recent years there has been significant interest in reversible data hiding, and also in particular, reversible data hiding in encrypted images (RDH-EI). This means that additional data can be embedded into a previously encrypted image with no knowledge of the original image content. According to the held keys, legal receivers can get the embedded data or an image very similar to the original one, or, both the embedded data and an image exactly as the original one. In this paper, we propose and evaluate a RDH-EI framework. Firstly, we propose a multi-level encryption (MLE) scheme using both Josephus traversal based multi-granular encryption and a stream cipher. To reduce the quantity of side information required to embed into images together with additional data, we also present a block histogram modification (BHM) approach with self-hidden peak pixels to perform reversible data embedding and a location map marking scheme to perform histogram contraction and recovery. The experimental results demonstrate that, in comparison with other similar methods, the proposed framework achieves improvements in terms of the embedding payload, the decrypted image quality and the accuracy of image restoration.
机译:近年来,人们对可逆数据隐藏,尤其是加密图像中的可逆数据隐藏(RDH-EI)表现出了极大的兴趣。这意味着可以在不了解原始图像内容的情况下将其他数据嵌入到先前加密的图像中。根据持有的密钥,合法接收者可以获得与原始数据非常相似的嵌入数据或图像,或者获得与原始数据完全相同的嵌入数据或图像。在本文中,我们提出并评估了RDH-EI框架。首先,我们提出了一种同时使用基于Josephus遍历的多粒度加密和流密码的多级加密(MLE)方案。为了减少与其他数据一起嵌入到图像中所需的辅助信息的数量,我们还提出了一种块直方图修改(BHM)方法,该方法具有自隐藏峰像素以执行可逆数据嵌入,以及一种位置图标记方案以执行直方图收缩复苏。实验结果表明,与其他类似方法相比,该框架在嵌入有效载荷,解密的图像质量和图像恢复的准确性方面均取得了改进。

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