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Controllable high-capacity separable data hiding in encrypted images by compressive sensing and data pretreatment

机译：通过压缩感测和数据预处理可控制的大容量可分离数据隐藏在加密图像中

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摘要

In this paper, a separable data hiding algorithm in encrypted images with controllable and high-capacity is proposed. Firstly, the original image is decomposed into important coefficients and unimportant coefficients by discrete wavelet transform (DWT). Secondly, DWT is applied again on unimportant coefficients matrixes and then the obtained coefficients matrixes are compressed using compressive sensing (CS) to empty space for data hiding. All the important coefficients are encrypted using the traditional stream cipher by the content owner. Thirdly, the data hider hides the pretreated data information in the free space. Finally, the encrypted image containing additional data is scrambled to improve the security. The receiver can separably extract the hiding data or/and decrypt the image depending on the keys he owns. Compared with the previous work, there are various advantages in the proposed algorithm, such as the separability between image recovery and data extraction, the controllable and high-capacity for data hiding. Experimental results verify the superiority of the proposed algorithm.
机译：提出了一种可控，大容量的加密图像可分离数据隐藏算法。首先，通过离散小波变换（DWT）将原始图像分解为重要系数和不重要系数。其次，将DWT再次应用于不重要的系数矩阵，然后使用压缩感测（CS）将获得的系数矩阵压缩到空白空间以进行数据隐藏。内容所有者使用传统的流密码对所有重要系数进行加密。第三，数据隐藏器将预处理的数据信息隐藏在自由空间中。最后，对包含附加数据的加密图像进行加扰以提高安全性。接收者可以根据其拥有的密钥分别提取隐藏数据或/和解密图像。与以前的工作相比，该算法具有多种优势，例如图像恢复与数据提取之间的可分离性，数据隐藏的可控性和高容量。实验结果证明了该算法的优越性。

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