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Improved Steganographic Method Preserving Pixel-Value Differencing Histogram with Modulus Function

机译:保留模量函数的像素值差分直方图的改进隐写方法

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摘要

We herein advance a secure steganographic algorithm that uses a turnover policy and a novel adjusting process. Although the method of Wang et al. uses Pixel-Value Differencing (PVD) and their modulus function provides high capacity and good image quality, the embedding process causes a number of artifacts, such as abnormal increases and fluctuations in the PVD histogram, which may reveal the existence of the hidden message. In order to enhance the security of the algorithm, a turnover policy is used that prevents abnormal increases in the histogram values and a novel adjusting process is devised to remove the fluctuations at the border of the subrange in the PVD histogram. The proposed method therefore eliminates all the weaknesses of the PVD steganographic methods thus far proposed and guarantees secure communication. In the experiments described herein, the proposed algorithm is compared with other PVD steganographic algorithms by using well-known steganalysis techniques, such as RS-analysis, steganalysis for LSB matching, and histogram-based attacks. The results support our contention that the proposed method enhances security by keeping the PVD histogram similar to the cover, while also providing high embedding capacity and good imperceptibility to the naked eye.
机译:我们在此提出了一种安全的隐写算法,该算法使用周转策略和新颖的调整过程。虽然王等人的方法。由于使用了像素值差(PVD),其模量函数提供了高容量和良好的图像质量,因此嵌入过程会导致许多伪像,例如PVD直方图的异常增加和波动,这可能揭示隐藏消息的存在。为了增强算法的安全性,使用了一种防止直方图值异常增加的周转策略,并设计了一种新颖的调整过程来消除PVD直方图中子范围边界的波动。因此,提出的方法消除了迄今为止提出的PVD隐写方法的所有缺点,并确保了安全的通信。在本文所述的实验中,通过使用众所周知的隐写分析技术(例如RS分析,用于LSB匹配的隐写分析和基于直方图的攻击),将提出的算法与其他PVD隐写算法进行比较。结果支持我们的论点,即所提出的方法通过保持PVD直方图与覆盖层相似来增强安全性,同时还提供了较高的嵌入能力和良好的肉眼不可见性。

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