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首页> 外文期刊>Sensing and imaging >Reversible Image Steganography Using Dual‑Layer LSB Matching
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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 attentionin many privacy-sensitive real-time applications, such as the Internet of Things(IoT) enabled communications, electronic health care infrastructure, and militaryapplications. The RIH methods are proven to be competent in such hyper-sensitiveinfrastructures where the loss of a single bit of information is not acceptable. In thispaper, dual-layered based RIH method using modified least significant bit (LSB)matching has been proposed. The objective of the proposed work is to enhance theembedding efficiency (EE) using dual-layer based embedding strategy and to curtailthe distortion caused to the stego-image to improve its quality. At the first layer ofembedding, each pixel conceals two bits of information using the proposed modifiedLSB matching method to produce the intermediate pixel pair (IPP). Further, theIPP is utilized to conceal four bits of information during the next layer of embedding.Experimental study reveals that, the proposed method can embed 1,572,864bits 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 assessmentparameters like structural similarity (SSIM) index and universal image qualityindex (Q) are as good as the existing literature. Additionally, the proposed methodshows excellent anti-steganalysis ability to regular and singular (RS) and pixel differencehistogram (PDH) analysis.
机译：最近，可逆信息隐藏（RIH）方法已在许多对隐私敏感的实时应用程序中引起了广泛关注，例如，启用了物联网（IoT）的通信，电子医疗基础设施和军事应用程序。事实证明，RIH方法在这种超敏感的基础设施中是行之有效的，在这些基础设施中丢失一小部分信息是不可接受的。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。拟议工作的目的是使用基于双层的嵌入策略来提高嵌入效率（EE），并减少对隐身图像造成的失真以提高其质量。在嵌入的第一层，每个像素使用建议的改良的LSB匹配方法隐藏两位信息，以生成中间像素对（IPP）。实验研究表明，该方法可以嵌入1,572,864位秘密数据，峰值信噪比（PSNR）分别为47.86 dB，48.05 dB。分别为46.51 dB和48.14 dB。此外，诸如结构相似性（SSIM）指数和通用图像质量指数（Q）之类的图像质量评估参数与现有文献一样好。此外，该方法对常规和奇异（RS）和像素差分直方图（PDH）分析显示出出色的抗隐写分析能力。

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  • 来源
    《Sensing and imaging》 |2019年第1期|21.1.1-21.1.21|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;隐写分析;包埋效率;

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