Targeted Steganalysis of Edge Adaptive Image Steganography Based on LSB Matching Revisited Using B-Spline Fitting

Targeted Steganalysis of Edge Adaptive Image Steganography Based on LSB Matching Revisited Using B-Spline Fitting
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基于 LSB 匹配的边缘自适应图像隐写术的目标隐写分析(使用 B 样条拟合重新审视)

DOI:
10.1109/lsp.2012.2194702
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发表时间:
2012-04
影响因子:
3.9
通讯作者:
Bin Li
Bin Li
中科院分区:
工程技术2区
文献类型:
--
作者:
Shunquan Tan;Bin Li

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在这封信中,作者指出,基于LSB匹配的边缘自适应图像隐写术的重新调整阶段在像素对绝对差直方图的长指数尾部引入了脉冲失真。利用这一观察结果,提出了一种基于 B 样条拟合的目标隐写分析方法。实验结果表明,该方法在检测低嵌入率的隐写图像时获得了优异的结果。与最先进的盲隐写分析器(例如 SPAM 和 SRM)相比,我们的方法的主导性能是显而易见的。此外,我们的方法可以准确估计秘密数据嵌入过程中使用的阈值,并且可以将单位块大小的隐写图像与块大小大于 1 的隐写图像分开。
In this letter, the authors point out that the readjusting phase of edge adaptive image steganography based on LSB matching revisited introduces a pulse distortion to the long exponential tail of the histogram of the absolute difference of the pixel pairs. Making use of this observation, a targeted steganalytic method based on B-Spline fitting is proposed. Experimental results show that the proposed method obtains excellent results for detecting stego images with low embedding rate. The dominant performance of our method compared with state-of-the-art blind steganalyzers, such as SPAM and SRM is apparent. Furthermore, our method can accurately estimate the threshold used in the secret data embedding procedure and can separate the stego images with unit block size from those with block sizes greater than one.
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