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    • 7. 发明授权
    • Method of designing watermark in consideration of wiener attack and whitening filtered detection
    • 考虑到智能攻击和美白滤波检测设计水印的方法
    • US07076081B2
    • 2006-07-11
    • US10271530
    • 2002-10-17
    • Youngha HwangKiryung LeeKyung Ae MoonMyung Joon Kim
    • Youngha HwangKiryung LeeKyung Ae MoonMyung Joon Kim
    • G06K9/00
    • G06T1/005G06T2201/0052G06T2201/0065H04N1/32149H04N1/3232
    • Disclosed a method of designing a watermark having the power spectral density optimized so that the detection performance can be improved by employing the whitening filtered detection after the Wiener attack. The power spectral density of the watermark is designed using an optimization method that can improve the entire detection performance by reflecting the gain of the whitening filter after the Wiener attack. A higher detection gain is obtained using the whitening filter after the Wiener attack, and the expected value of the difference between test statistics of the two hypotheses that the watermark exists and the watermark does not exist, respectively, is maximized to optimize the detection performance. Regarding the expected value of the difference between the test statistics as an objective function, the power spectral density of the watermark, which corresponds to a maximum differentiated value of the power spectral density of the watermark using the Lagrange multiplier method, is obtained.
    • 公开了一种设计具有优化的功率谱密度的水印的方法,以便可以在Wiener攻击之后采用白化滤波检测来提高检测性能。 使用优化方法设计水印的功率谱密度,通过在Wiener攻击后反映白化滤波器的增益,可以提高整个检测性能。 在Wiener攻击之后使用白化滤波器获得更高的检测增益,并且最大化分别对水印存在的两个假设的测试统计和不存在水印的测试统计之间的差异的期望值进行优化。 关于作为目标函数的测试统计之间的差异的期望值,获得与使用拉格朗日乘数法的水印的功率谱密度的最大微分值相对应的水印的功率谱密度。