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Reversible Data Hiding in Encrypted Image Based on Block Classification Scrambling

机译:基于块分类加扰的加密图像中可逆数据隐藏

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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 x 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隐藏在加密图像中的可逆数据。在图像加密阶段,首先将所有8 x 8的块分为平滑块和纹理块,然后根据它们的最高有效位(MSB)生成相应的块类型矩阵。然后,分别用加密密钥对经过XOR加密的平滑块和纹理块进行加密。最后,通过依次扫描加扰的平滑块和纹理块来生成加密图像。由于保护了每个像素的值和位置,因此降低了通过所提出的方法获得的加密图像内容公开的风险。实验结果表明,即使在0.15 bpp的高嵌入率下对纹理图像狒狒而言,所提方法的无损恢复概率为100%。

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