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Locating Steganalysis of LSB Matching Based on Spatial and Wavelet Filter Fusion

机译:基于空间和小波滤波器融合的LSB匹配定位Sectan分析

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摘要

For the case of that only a single stego image of LSB (Least Significant Bit) matching steganography is available, the existing steganalysis algorithms cannot effectively locate the modified pixels. Therefore, an algorithm is proposed to locate the modified pixels of LSB matching based on spatial and wavelet filter fusion. Firstly, the validity of using the residuals obtained by spatial and wavelet filtering to locate the modified pixels of LSB matching is analyzed. It is pointed out that both of these two kinds of residuals can be used to identify the modified pixels of LSB matching with success rate higher than that of randomly guessing. Then, a method is proposed to measure the correlation between the results of two locating algorithms. Statistical results show that there are low correlations between the locating results of spatial filter based algorithm and wavelet filter based algorithm. Then these two kinds of residuals are fused by the voting method to improve the locating performance. The experimental results show that the proposed fusion algorithm can effectively improve the locating accuracy for the modified pixels of LSB matching.
机译:因为只有只有LSB(最低有效位)的单个STEGO图像匹配的隐写术,现有的隐性分析算法无法有效地定位修改的像素。因此,提出了一种算法以基于空间和小波滤波器融合定位LSB匹配的修改像素。首先,分析了使用空间和小波滤波获得的残差来定位LSB匹配的修改像素的剩余的有效性。结果指出,这两种残差都可以用于识别LSB匹配的改进像素,其成功率高于随机猜测的成功率。然后,提出了一种方法来测量两个定位算法结果之间的相关性。统计结果表明,基于空间滤波器的算法和基于小波滤波器算法的定位结果之间存在低相关性。然后通过投票方法融合这两种残差以改善定位性能。实验结果表明,所提出的融合算法可以有效地提高LSB匹配的改进像素的定位精度。

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