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Minimizing additive distortion functions with non-binary embedding operation in steganography

机译:通过隐写术中的非二进制嵌入操作最大程度地减少加性失真函数

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Most practical steganographic algorithms for empirical covers embed messages by minimizing a sum of per-pixel distortions. Current near-optimal codes for this minimization problem [7] are limited to a binary embedding operation. In this paper, we extend this work to embedding operations of larger cardinality. The need for embedding changes of larger amplitude and the merit of this construction are confirmed experimentally by implementing an adaptive embedding algorithm for digital images and comparing its security to other schemes.
机译:用于经验的最实用隐写算法通过最小化每个像素失真的总和来覆盖嵌入消息。当前用于该最小化问题的近乎最佳的代码[7]仅限于二进制嵌入操作。在本文中,我们将这项工作扩展到更大基数的嵌入操作。通过对数字图像实施自适应嵌入算法并将其安全性与其他方案进行比较,实验上证实了需要嵌入更大幅度的变化以及这种构造的优点。

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