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An Enhanced Informed Watermarking Scheme Using the Posterior Hidden Markov Model

机译:后隐马尔可夫模型的增强型通知水印方案

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摘要

Designing a practical watermarking scheme with high robustness, feasible imperceptibility, and large capacity remains one of the most important research topics in robust watermarking. This paper presents a posterior hidden Markov model (HMM-) based informed image watermarking scheme, which well enhances the practicability of the prior-HMM-based informed watermarking with favorable robustness, imperceptibility, and capacity. To make the encoder and decoder use the (nearly) identical posterior HMM, each cover image at the encoder and each received image at the decoder are attacked with JPEG compression at an equivalently small quality factor (QF). The attacked images are then employed to estimate HMM parameter sets for both the encoder and decoder, respectively. Numerical simulations show that a small QF of 5 is an optimum setting for practical use. Based on this posterior HMM, we develop an enhanced posterior-HMM-based informed watermarking scheme. Extensive experimental simulations show that the proposed scheme is comparable to its prior counterpart in which the HMM is estimated with the original image, but it avoids the transmission of the prior HMM from the encoder to the decoder. This thus well enhances the practical application of HMM-based informed watermarking systems. Also, it is demonstrated that the proposed scheme has the robustness comparable to the state-of-the-art with significantly reduced computation time.
机译:设计具有高鲁棒性,可行的不可感知性和大容量的实用水印方案仍然是鲁棒水印中最重要的研究主题之一。本文提出了一种基于后隐马尔可夫模型(HMM-)的知情图像水印方案,该方法以良好的鲁棒性,不易察觉性和良好的处理能力大大提高了基于先验HMM的知情水印的实用性。为了使编码器和解码器使用(几乎)相同的后HMM,编码器上的每个封面图像和解码器上的每个接收图像都以JPEG压缩以等效的小品质因数(QF)进行攻击。然后,将被攻击的图像分别用于估计编码器和解码器的HMM参数集。数值模拟表明,较小的QF为5是实际使用的最佳设置。基于此后HMM,我们开发了一种基于后HMM的增强型知情水印方案。大量的实验仿真表明,所提出的方案与先前的方案相当,后者使用原始图像估计HMM,但避免了先前的HMM从编码器传输到解码器。因此,这很好地增强了基于HMM的知情水印系统的实际应用。而且,证明了所提出的方案具有与现有技术相当的鲁棒性,并且显着减少了计算时间。

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  • 作者

    Chuntao Wang;

  • 作者单位
  • 年(卷),期 -1(2014),-1
  • 年度 -1
  • 页码 345892
  • 总页数 13
  • 原文格式 PDF
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