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An Effective Dual-Image Reversible Hiding for UAV’s Image Communication

机译:用于无用的图像通信的有效双重图像可逆隐藏

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摘要

Compared with traditional hiding methods, dual-image reversible data hiding methods have a higher embedding rate and a better quality stego image. Also, this is a special case of secret sharing, because secret data cannot be extracted from any stego image. In the literature, the frequencies of occurrence of secret data were used as reference information for data encoding, in which most digits were transformed into smaller ones. The encoding strategy can effectively decrease the modification level of the pixel. However, only limited literature has analyzed the relationship between the adjacent secret data. In this paper, we proposed an exclusive-or (XOR)-based encoding method to convert the neighboring values, thereby reducing the distortion. Since there are significant similarities between the two stego images and the original image, the first stego image is stored on an unmanned aerial vehicle (UAV) to avoid a hacker’s interception attack. The second stego image on the UAV is sent to the command station. After completion of the UAV mission, the proposed method extracts the secret data from the two stego images to identify whether the second stego image has been tampered with.
机译:与传统的隐藏方法相比,双图像可逆数据隐藏方法具有较高的包封率和更好的质量隐秘图像。此外,这是秘密共享的特殊情况,因为机密数据无法从任何隐秘图像中提取。在文献中,秘密数据的出现频率被用作数据编码的参考信息,其中大多数数字转化成更小的。的编码策略可以有效地降低该像素的修正电平。然而,只有有限的文献已经分析了相邻的秘密数据之间的关系。在本文中,我们提出了一种异或(XOR)为基础的编码方法将相邻值进行转换,从而减小了失真。由于有两个隐秘图像和原始图像之间的相似性显著,第一隐秘图像存储在无人驾驶飞行器(UAV),以避免黑客的攻击拦截。在UAV第二隐秘图像被发送到命令站。无人机的任务完成后,所提出的方法提取从两个隐秘图像的机密数据,以确定第二隐秘图像是否被篡改。

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