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Reversible Image Steganography Using Dual‑Layer LSB Matching

机译：使用双层LSB匹配的可逆图像隐写术

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摘要

Recently, reversible information hiding (RIH) methods have drawn substantial attention in many privacy-sensitive real-time applications, such as the Internet of Things (IoT) enabled communications, electronic health care infrastructure, and military applications. The RIH methods are proven to be competent in such hyper-sensitive infrastructures where the loss of a single bit of information is not acceptable. In this paper, dual-layered based RIH method using modified least significant bit (LSB) matching has been proposed. The objective of the proposed work is to enhance the embedding efficiency (EE) using dual-layer based embedding strategy and to curtail the distortion caused to the stego-image to improve its quality. At the first layer of embedding, each pixel conceals two bits of information using the proposed modified LSB matching method to produce the intermediate pixel pair (IPP). Further, the IPP is utilized to conceal four bits of information during the next layer of embedding. Experimental study reveals that, the proposed method can embed 1,572,864 bits of secret data with peak signal-to-noise ratio (PSNR) of 47.86 dB, 48.05 dB, 46.51 dB and 48.14 dB, for the respective images. Further, the image quality assessment parameters like structural similarity (SSIM) index and universal image quality index (Q) are as good as the existing literature. Additionally, the proposed method shows excellent anti-steganalysis ability to regular and singular (RS) and pixel difference histogram (PDH) analysis.
机译：最近，可逆信息隐藏（RIH）方法在许多隐私敏感的实时应用中绘制了大量的注意力，例如企图互联网（IOT）的通信，电子医疗基础设施和军事应用。 rih方法被证明是在这种超敏感基础设施中能够称职，其中单一信息丢失是不可接受的。在本文中，已经提出了使用改进的最低有效位（LSB）匹配的基于双层的RIH方法。拟议工作的目的是利用基于双层的嵌入策略来提高嵌入效率（EE），并限制对STEGO图像引起的失真以提高其质量。在第一层嵌入层中，每个像素使用所提出的修改的LSB匹配方法隐藏了两位信息以产生中间像素对（IPP）。此外，IPP用于隐藏在下一层嵌入层期间的四个信息。实验研究表明，该方法可以为相应图像嵌入47.86dB，48.05dB，48.05dB，46.51dB和48.14dB的峰值信噪比（PSNR）的1,572,864位。此外，像结构相似性（SSIM）指数和通用图像质量指数（Q）等图像质量评估参数与现有文献一样好。另外，该方法表明了常规和奇异（RS）和像素差直方图（PDH）分析的优异的抗分解分析能力。

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  • 来源
    《Sensing and imaging》 |2020年第1期|1.1-1.21|共21页
  • 作者

    Aditya Kumar Sahu; Gandharba Swain;

  • 作者单位

    Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Guntur Andhra Pradesh 522502 India Department of Computer Science and Engineering GMRIT Rajam Andhra Pradesh 532127 India;

    Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Guntur Andhra Pradesh 522502 India;

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  • 正文语种 eng
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  • 关键词

    Steganography; Reversible information hiding; Steganalysis; Embedding efficiency;

    机译：隐写术;可逆信息隐藏;塞巴巴分析;嵌入效率;

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