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    韩 涛, 祝跃飞, 林斯思, 吴 杨. 基于空域失真模型的修正矩阵编码及其改进[J]. 计算机研究与发展, 2014, 51(7): 1467-1475.
    引用本文: 韩 涛, 祝跃飞, 林斯思, 吴 杨. 基于空域失真模型的修正矩阵编码及其改进[J]. 计算机研究与发展, 2014, 51(7): 1467-1475.
    Han Tao, Zhu Yuefei, Lin Sisi, Wu Yang. Modified Matrix Encoding Based on the Spatial Distortion Model and Its Improvement[J]. Journal of Computer Research and Development, 2014, 51(7): 1467-1475.
    Citation: Han Tao, Zhu Yuefei, Lin Sisi, Wu Yang. Modified Matrix Encoding Based on the Spatial Distortion Model and Its Improvement[J]. Journal of Computer Research and Development, 2014, 51(7): 1467-1475.

    基于空域失真模型的修正矩阵编码及其改进

    Modified Matrix Encoding Based on the Spatial Distortion Model and Its Improvement

    • 摘要: 隐写编码是一种常用于提高隐写术安全性的方法,针对不同的载体对象,如何定义合适的失真模型又是隐写术设计中另外一个关键问题.首先针对空域图像定义了一种简单的失真模型,并将其应用于修正矩阵编码(modified matrix encoding, MME);然后提出一种可用于减少载体修改个数的隐写编码方法,并将其用于改进基于空域失真模型的修正矩阵编码.性能对比实验的结果表明:1)所定义的空域失真模型具有一定的合理性;2)所设计的隐写编码方法具有一定的有效性;3)所提出的隐写算法具有较好的安全性.

       

      Abstract: Steganographic coding is a common and effective method to improve the security of steganography. In the meantime, how to define a suitable distortion model for different cover objects is another crucial problem in the design of steganography. In this paper, we define a new and simple distortion model for spatial images and apply it to the MME (modified matrix encoding). It is used to choose the pixels whose modifications introduce the minimal embedding distortion. In addition, an efficient and simple steganographic code, based on the LSBMR (least significant bit matching revisited), is proposed to further decrease the changes of the cover elements, which is used to improve the MME based on the spatial distortion model. At the same time, the idea of the proposed method can be similarly extended to the STC (syndrome-trellis codes) and the widespread block codes based matrix embedding schemes such as BCH (Bose-Chaudhuri-Hochquenghem) codes. The experimental results demonstrate the rationality of the proposed distortion model for spatial images and the efficiency of the proposed steganographic code. Moreover, when resisting some common and efficient steganalyzers, the proposed steganographic algorithms, tested on 10 000 grayscale images of BossBase1.01 image library, perform better than some previous papers.

       

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