Periodic signaling scheme in oblivious data hiding

L. Gang, A. Akansu, M. Ramkumar
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引用次数: 4

Abstract

In the oblivious watermarking, information is extracted without reference to the original host signal, whose energy is much larger than that of the watermark signal. Suppressing host noise is a great concern. Some non-linear embedding methods, e.g. quantization index modulation (QIM) can greatly suppress the host noise. In this method, the signaling is periodic. We analyze the maximum likelihood (ML) detector for the QIM signaling scheme, and compare the error probability with a hard decision detector. Based on it, a new periodic signaling scheme is proposed and its optimum and suboptimal detection is derived. Through analysis and simulation, we demonstrate its advantage in term of PE-SNR over the existing methods.
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不经意数据隐藏中的周期信令方案
在遗忘水印中,提取信息时不参考原始主机信号,其能量远远大于水印信号的能量。抑制主机噪声是一个值得关注的问题。一些非线性嵌入方法,如量化指标调制(QIM),可以很好地抑制主噪声。在这种方法中,信号是周期性的。我们分析了QIM信令方案的最大似然检测器,并将其错误概率与硬决策检测器进行了比较。在此基础上,提出了一种新的周期信令方案,并推导了该方案的最优和次优检测方法。通过分析和仿真,证明了该方法在pe信噪比方面优于现有方法。
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