基于量化DCT矩阵特征特征的特征值隐写

Y. M. Behbahani, P. Ghayour, A. Farzaneh
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引用次数: 12

摘要

本文利用量化DCT系数矩阵的特征值特性,提出了一种新的基于jpeg的隐写技术。我们称这种新方法为特征值隐写术。常用的基于JPEG图像的隐写技术是通过改变DCT系数的最低有效位来隐藏数据。特征值隐写技术利用量化DCT矩阵的特征值并对其进行处理来隐藏机密数据。该技术建议在DCT域中将量化的DCT系数块细分为更小的子矩阵。然后,该技术通过利用所提出的算法和处理这些子矩阵的特征值,有效地隐藏了DCT子矩阵之间的机密信息。本文的实验表明,所提出的两种实现特征值隐写的方法对减像素邻接矩阵(SPAM)隐写分析器具有适当的抵抗能力。该隐写分析模型不具备对建议的方法进行适当检测的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Eigenvalue Steganography based on eigen characteristics of quantized DCT matrices
In this paper we propose a new JPEG-based steganography technique, using eigenvalues' properties of matrices of quantized DCT coefficients. We call this new approach, Eigenvalue Steganography. Usual steganography techniques based on JPEG images, hide data by changing the least significant bit (LSB) of DCT coefficients. Eigenvalue Steganography technique hides confidential data employing the eigenvalues of quantized DCT matrices and manipulating them. This technique suggests the subdivision of quantized DCT coefficients blocks into smaller submatrices in DCT domain. Afterwards, this technique efficiently hides confidential information among DCT submatrices, by employing the proposed algorithms and manipulating the eigenvalues of these submatrices. Experiments done in this paper, depicts that the two proposed methods to implement Eigenvalue Steganography show appropriate resistance against Subtractive Pixel Adjacency Matrix (SPAM) steganalyzer. This steganalysis model doesn't have the capability of proper detection for the suggested methods.
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