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Distortion Function for Spatial Image Steganography Based on the Polarity of Embedding Change

机译:基于嵌入变化极性的空间图像隐写性的失真函数

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Most of the existing distortion functions for digital images steganography allot a same embedding cost for ±1 embedding change, which should be different intuitively. This paper proposes a general method to distinguish the embedding cost for different polarity of embedding change for spatial images. The fluctuation after pixels are +1 or -1 modified respectively, and the texture of cover image are employed to adjust a given distortion function. After steganography with the adjusted distortion function, the fluctuation around stego pixels become more similar to the fluctuation around their neighbourhoods. This similarity performs less detectable artifacts. Experiment results show that the statistical undetectability of current popular steganographic methods is increased after incorporated the proposed method.
机译:数字图像的大多数现有失真函数都是相同的嵌入成本为±1嵌入变化,这应该直观地不同。本文提出了一种将嵌入成本区分用于空间图像的嵌入变化的不同极性的嵌入成本。像素之后的波动分别是+1或-1修改,并且采用盖图像的纹理来调整给定的失真函数。通过调整失真函数的隐写术后,SEGO像素周围的波动变得更加类似于周围的邻域的波动。这种相似性执行较少可检测的伪影。实验结果表明,在加入所提出的方法之后,当前流行的隐法识别方法的统计不可探测性增加。

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