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A new robust, secure and high capacity watermarking schemes for image authentication and recovery via the Discrete Wavelet and Arnold's Tranforms

机译：通过离散小波和Arnold的Tranforms进行图像鉴定和恢复的新的强大，安全和大容量水印方案

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摘要

In recent years digital watermarking and information hiding has become an important area of research as a result of the many copyright infringement or information tampering encountered during transmission or distribution of data over a network. This is due to the advancement in the speed of communication over the internet and the rapid growth of digital applications. In digital watermarking schemes, the watermark signal is either embedded in the spatial or the transform domain (such as Discrete Wavelet Transform, Discrete Fourier Transform or Discrete Cosine Transform) of the host or carrier image. In a conventional practice, transform domains are preferred for information embedding rather than a spatial domain, as spatial domains are more prone to distortions when subjected to various transforms and signal processing techniques.;In this thesis, we propose five new high security digital watermarking schemes based on the Discrete Wavelet Transform (DWT). The key features of these new algorithms are that they have a high data embedding capacity, high security, redundancy, and high tampering detection and information recovery. The effects, on these proposed schemes, of watermarked image tampering such as blurring, pixel tampering, noise, data compression, and DES encryption are shown here. We also analyze the extracted image recovery quality based on the amount of tampering sustained by the related watermarked image. This analysis is performed on all five proposed schemes and leads to a better understanding of the tradeoff between increasing the embedding capacity of a proposed scheme and the recovery quality of the resulting extracted hidden image (s).
机译：近年来，由于在网络上传输或分发数据期间遇到许多版权侵权或信息篡改，数字水印和信息隐藏已成为研究的重要领域。这是由于Internet上通信速度的提高以及数字应用程序的快速增长。在数字水印方案中，水印信号被嵌入到主机或载波图像的空间域或变换域中（例如离散小波变换，离散傅里叶变换或离散余弦变换）。在传统实践中，变换域更适合用于信息嵌入，而不是空间域，因为空间域在经受各种变换和信号处理技术后更容易失真。本文提出了五种新的高安全性数字水印方案。基于离散小波变换（DWT）。这些新算法的关键特征是它们具有高数据嵌入能力，高安全性，冗余性以及高篡改检测和信息恢复能力。此处显示了对这些提出的方案的水印图像篡改（例如模糊，像素篡改，噪声，数据压缩和DES加密）的效果。我们还根据相关水印图像承受的篡改量来分析提取的图像恢复质量。对所有五个提议的方案都执行了此分析，并导致对增加提议的方案的嵌入能力与所生成的提取隐藏图像的恢复质量之间的权衡关系有更好的理解。

著录项

  • 作者

    Chaughule, Swapnil Suresh.;

  • 作者单位

    University of Massachusetts Lowell.;

  • 授予单位 University of Massachusetts Lowell.;
  • 学科 Computer engineering.
  • 学位 M.S.
  • 年度 2017
  • 页码 81 p.
  • 总页数 81
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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