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Revisiting weighted Stego-image Steganalysis for PVD steganography

机译:再谈PVD隐写术的加权隐身图像隐写分析

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摘要

Weighted stego-image (WS) method is famous for estimating embedding rate of steganography using least significant bit (LSB) scheme. This paper investigates its feasibility of analyzing pixel-value differencing (PVD) steganography, an algorithm without using LSB strategy. Theoretical analysis demonstrates that, although PVD embedding scheme is quite different from LSB, the stego noise in sum value image behaviors like that of LSB replacement (LSBR) steganography. Thus, several sum value image based WS estimators are proposed and the effectiveness is verified via experiments. The results indicate that the estimators are sensitive to sample size and relative embedding rate, and combing non-adaptive and adaptive methods can make the estimation more accurate.
机译:加权隐秘图像(WS)方法以使用最低有效位(LSB)方案估计隐写术的嵌入率而闻名。本文研究了在不使用LSB策略的情况下分析像素值差分(PVD)隐写术的可行性。理论分析表明,尽管PVD嵌入方案与LSB完全不同,但总和值图像行为中的隐身噪声类似于LSB替换(LSBR)隐写术。因此,提出了几种基于和值图像的WS估计器,并通过实验验证了有效性。结果表明,估计量对样本量和相对嵌入率敏感,结合非自适应和自适应方法可以使估计量更加准确。

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