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Comparative performance evaluation of practical digital watermarking embedding schemes.

机译:实用数字水印嵌入方案的比较性能评估。

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摘要

Digital watermarking is considered a possible solution to the problem of protecting digital material. Many techniques have been proposed for watermarking images and videos. One major difference between these techniques is the actual embedding schema employed to embed data inside the host image; however, the literature lacks an effective comparison of the different embedding approaches.; The work presented in this thesis introduces and highlights the technical challenges associated with watermarking. Our concern is to determine the best embedding schema for a watermarking algorithm and to use the Human Visual System (HVS) features for automatic optimization of watermarking embedding schema parameters. We first give an introduction to the watermarking systems, processes, properties, and applications and then an overview of the compression standards as well as a comprehensive survey of current watermarking techniques and approaches.; Two different embedding schemes are considered in this thesis. In the first method, a watermark is embedded into the host image and then the watermarked image goes through the compression process. In the second scheme, the cover image goes through the entire compression process and then a watermark is added to the compressed image. For both approaches the JPEG and the wavelet compression standards are employed. The issue of false negative rate and the fidelity level are addressed and we propose a mathematical method of using the human visual system (HVS) features as a solution to a related optimization problem. Also we suggest ways in which the performance of the watermarking algorithms can be improved.; Finally, through statistical analysis, we recommended a set of criteria for evaluating our proposed embedding schemes, as well as a mathematical method for using the HVS, which makes novel use of tool-sets not previously proposed. We close with a summary and conclusions and suggest future research directions.
机译:数字水印被认为是解决数字材料保护问题的一种可能的解决方案。已经提出了许多用于对图像和视频加水印的技术。这些技术之间的主要区别之一是用于将数据嵌入主机映像内部的实际嵌入方案。但是,文献缺乏对不同嵌入方法的有效比较。本文介绍的工作介绍并重点介绍了与水印相关的技术挑战。我们的关注点是确定用于水印算法的最佳嵌入方案,并使用人类视觉系统(HVS)功能自动优化水印嵌入方案参数。我们首先介绍水印系统,过程,属性和应用,然后概述压缩标准以及对当前水印技术和方法的全面调查。本文考虑了两种不同的嵌入方案。在第一种方法中,将水印嵌入到宿主图像中,然后将水印图像经历压缩过程。在第二方案中,封面图像经过整个压缩过程,然后将水印添加到压缩图像中。对于这两种方法,均采用JPEG和小波压缩标准。解决了假阴性率和保真度级别的问题,我们提出了一种使用人类视觉系统(HVS)功能作为相关优化问题解决方案的数学方法。另外,我们提出了改善水印算法性能的方法。最后,通过统计分析,我们推荐了一套评估我们提出的嵌入方案的标准,以及一种使用HVS的数学方法,该方法新颖地利用了之前未提出的工具集。我们以总结和结论作为结尾,并提出了未来的研究方向。

著录项

  • 作者

    Eyadat, Mohammad S.;

  • 作者单位

    The Claremont Graduate University and California State University, Long Beach.;

  • 授予单位 The Claremont Graduate University and California State University, Long Beach.;
  • 学科 Mathematics.; Computer Science.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 254 p.
  • 总页数 254
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 数学;自动化技术、计算机技术;
  • 关键词

  • 入库时间 2022-08-17 11:44:46

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