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Performing scalable lossy compression on pixel encrypted images

机译:对像素加密的图像执行可伸缩的有损压缩

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Compression of encrypted data draws much attention in recent years due to the security concerns in a service-oriented environment such as cloud computing. We propose a scalable lossy compression scheme for images having their pixel value encrypted with a standard stream cipher. The encrypted data are simply compressed by transmitting a uniformly subsampled portion of the encrypted data and some bitplanes of another uniformly subsampled portion of the encrypted data. At the receiver side, a decoder performs content-adaptive interpolation based on the decrypted partial information, where the received bit plane information serves as the side information that reflects the image edge information, making the image reconstruction more precise. When more bit planes are transmitted, higher quality of the decompressed image can be achieved. The experimental results show that our proposed scheme achieves much better performance than the existing lossy compression scheme for pixel-value encrypted images and also similar performance as the state-of-the-art lossy compression for pixel permutation-based encrypted images. In addition, our proposed scheme has the following advantages: at the decoder side, no computationally intensive iteration and no additional public orthogonal matrix are needed. It works well for both smooth and texture-rich images.
机译:近年来,由于面向服务的环境(例如云​​计算)中的安全问题,加密数据的压缩引起了很多关注。我们为图像的像素值用标准流密码加密的图像提出了一种可伸缩的有损压缩方案。通过传输加密数据的统一子采样部分和加密数据的另一个统一子采样部分的某些位平面,可以简单地压缩加密数据。在接收器侧,解码器基于解密的部分信息执行内容自适应插值,其中接收到的位平面信息用作反映图像边缘信息的辅助信息,从而使图像重建更加精确。当传输更多位平面时,可以实现更高质量的解压缩图像。实验结果表明,我们提出的方案比现有的像素值加密图像有损压缩方案具有更好的性能,并且与基于像素置换的加密图像的最新有损压缩性能相似。另外,我们提出的方案具有以下优点:在解码器侧,不需要计算密集的迭代,也不需要其他公共正交矩阵。它适用于平滑和纹理丰富的图像。

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