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    基于像素链动态失真和校验格码的±1隐写编码

    ±1 Steganographic Codes by Applying Syndrome-Trellis Codes to Dynamic Distortion Model in Pixel Chain

    • 摘要: 双层校验格码(syndrome trellis code, STC)是目前最小化±1隐写失真的流行工具,但是该方法是概率算法,可能造成嵌入失败,并且计算复杂度较高.因此提出像素链动态失真模型,利用当前像素的SLSB(second least significant bit)位控制下一像素的LSB(least significant bit)位,使得嵌入过程中有些像素的失真可以动态调整为零.进而,将STC码应用于动态失真模型,得到了一种新的±1隐写编码方法.新方法最小化失真的能力与双层STC接近,嵌入速度明显优于双层STC.并且新方法是确定性算法,可以保证嵌入成功,所以更适合在实际的应用系统中使用.

       

      Abstract: Double-layered STC (syndrome trellis code) is the most popular method for minimizing the distortion of ±1 steganography. However, it is a probabilistic algorithm which may fail in the embedding process on some given profiles. Another characteristic of double-layered STC is the high computational complexity. Starting from these two points, we propose a dynamic distortion model defined in a pixel chain in this paper. The dynamic distortion model is working on a principle that the SLSB (second least significant bit) of current pixel is used to control the LSB (least significant bit) of the next pixel. So the distortion of some pixels may be adjusted to zero by this means. We apply STC to fit the dynamic distortion model and get a novel method for ±1 steganography. Comparing with the double-layered STC, the experiment result shows that the proposed method has comparable ability for minimizing distortion with significantly improved embedding speed. And this novel method avoids failure in the embedding process. Considering the advantages together, the method is more suitable for steganography systems and software in practical environment.

       

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