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Robustness of Double Random Phase Encoding spread-space spread-spectrum watermarking technique

机译:双随机相位编码扩展空间扩展频谱水印技术的鲁棒性

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摘要

In this paper the robustness of a recently proposed image watermarking scheme, namely the Double Random Phase Encoding spread-space spread-spectrum watermarking (DRPE SS-SS) technique, is investigated. The watermark, which is chosen to be in the form of a digital barcode image, is numerically encrypted using a simulation of the optical DRPE process. This produces a random complex image, which is then processed to form a real valued random image with a low number of quantization levels. This signal is added to the host image. Extraction of the barcode, involves applying an inverse DRPE process to the watermarked image followed by low pass filtering. This algorithm is designed to utilize the capability of the DRPE to reversibly spread the energy of the watermarking information in both the space and spatial frequency domains. In this way the energy of the watermark in any spatial or spatial frequency bin is very small. To test robustness several common geometric transformations and signal processing operations are performed using both informed and blind detections for different barcode widths and different quantization levels. The results presented indicate that while the DRPE SS-SS method is robust to scaling, and JPEG compression distortion, it is especially robust to spatial cropping and both low and high pass filtering. Both random-watermark and random-host false positive cases are examined. The uniqueness of the watermark is demonstrated, and it is shown that the DRPE SS-SS has very low false positive errors, and that the larger the barcode width, the lower the false positive rate. Finally the effects of both printing and scanning are examined.
机译:本文研究了最近提出的图像水印方案的鲁棒性,即双随机相位编码扩展空间扩展频谱水印(DRPE SS-SS)技术。被选择为数字条形码图像形式的水印使用光学DRPE过程的模拟被数字加密。这产生了随机复数图像,然后对其进行处理以形成具有少量量化级别的实值随机图像。该信号被添加到主机映像。条形码的提取涉及对水印图像应用逆DRPE处理,然后进行低通滤波。设计该算法是为了利用DRPE的能力在空间和空间频域中可逆地扩展水印信息的能量。这样,在任何空间或空间频率仓中水印的能量都非常小。为了测试鲁棒性,针对不同的条形码宽度和不同的量化水平,使用知情和盲检测来执行几种常见的几何变换和信号处理操作。给出的结果表明,尽管DRPE SS-SS方法对缩放和JPEG压缩失真具有鲁棒性,但对空间裁剪以及低通和高通滤波都特别鲁棒。随机水印和随机主机的假阳性案例都进行了检查。证明了水印的唯一性,并且表明DRPE SS-SS的误报率非常低,并且条形码宽度越大,误报率越低。最后,检查打印和扫描的效果。

著录项

  • 来源
    《Signal processing》 |2015年第4期|345-361|共17页
  • 作者单位

    School of Electrical, Electronic and Communication Engineering, College of Engineering and Architecture, Communication and Optoelectronic Research Centre, The SFI-Strategic Research Cluster in Solar Energy Conversion, University College Dublin, Belfield, Dublin 4, Ireland;

    Department of Electronic Engineering, The Callan Institute, National University of Ireland Maynooth, County Kildare, Ireland;

    School of Electrical, Electronic and Communication Engineering, College of Engineering and Architecture, Communication and Optoelectronic Research Centre, The SFI-Strategic Research Cluster in Solar Energy Conversion, University College Dublin, Belfield, Dublin 4, Ireland;

    School of Electrical, Electronic and Communication Engineering, College of Engineering and Architecture, Communication and Optoelectronic Research Centre, The SFI-Strategic Research Cluster in Solar Energy Conversion, University College Dublin, Belfield, Dublin 4, Ireland;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Digital image watermarking; DRPE SS-SS; Robustness; Informed detection; Blind detection; Additive spread-spectrum;

    机译:数字图像水印;DRPE SS-SS;坚固性知情检测;盲检测加性扩频;

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