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Reversible Data Hiding in Encrypted Image Based on Block Classification Scrambling

机译:基于块分类扰扰的加密图像隐藏在加密图像中的可逆数据

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To improve the security and the quality of decrypted image, this work proposes a reversible data hiding in encrypted image based on block classification scrambling. In image encryption phase, all 8 × 8 blocks are firstly classified into the smooth blocks and texture ones and the corresponding block-type matrix is generated according to their most significant bits (MSB). And then the XOR-encrypted smooth and texture blocks are scrambled by the encryption key, respectively. At last, the encrypted image is generated by scanning the scrambled smooth and texture blocks in order. The risk of content disclosure of encrypted image obtained by the proposed method is reduced since the value and location of each pixel are both protected. Experimental results demonstrate that the probability for lossless recovery of proposed method is 100% even if for texture image Baboon at a high embedding rate of 0.15 bpp.
机译:为了提高解密图像的安全性和质量,这项工作提出了一种基于块分类加扰的加密图像中隐藏的可逆数据。在图像加密阶段中,所有8×8块首先分类为平滑块和纹理,并且根据其最高有效的比特(MSB)生成相应的块型矩阵。然后,分别由加密密钥扰乱XOR加密的平滑和纹理块。最后,通过按顺序扫描加扰的平滑和纹理块来生成加密图像。由于每个像素的值和位置都受到保护,因此减少了通过所提出的方法获得的加密图像的内容披露的风险。实验结果表明,即使在高嵌入速率为0.15bpp的高嵌入率的情况下,所提出的方法的无损恢复概率也为100%。

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