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Perturbed quantization steganography

机译:扰动量化隐写术

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In this paper, we use the recently proposed wet paper codes and introduce a new approach to passive-warden steganography called perturbed quantization. In perturbed quantization, the sender hides data while processing the cover object with an information-reducing operation that involves quantization, such as lossy compression, downsampling, or A/D conversion. The unquantized values of the processed cover object are considered as side information to confine the embedding changes to those unquantized elements whose values are close to the middle of quantization intervals. This choice of the selection channel calls for wet paper codes as they enable communication with non-shared selection channel. Heuristic is presented that indicates that the proposed method provides better steganographic security than current JPEG steganographic methods. This claim is further supported by blind steganalysis of a specific case of perturbed quantization for recompressed JPEG images.
机译:在本文中,我们使用最近提出的湿纸代码,并介绍了一种称为被动量化的无源病房隐写术新方法。在扰动量化中,发送方在使用涉及量化的信息缩减操作(例如有损压缩,下采样或A / D转换)处理封面对象时隐藏数据。将处理后的掩盖对象的未量化值视为辅助信息,以将嵌入更改限制在其值接近量化间隔中间值的那些未量化元素上。选择通道的这种选择需要使用湿纸代码,因为它们可以与非共享的选择通道进行通信。提出的启发式方法表明,与当前的JPEG隐写方法相比,该方法提供了更好的隐写安全性。通过对重新压缩的JPEG图像进行扰动量化的一种特殊情况的盲写分析,进一步支持了此要求。

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