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How many pixels to watermark?

机译:要加水印多少像素?

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摘要

Watermark design and detection have been studied as two separate problems so far. However, we show that, if the watermarking algorithm is based on the watermark detection method, then significant gains can be achieved. With a watermark detector based on a sequential hypothesis test rather than a fixed sample size test, the number of watermark pixels can be reduced almost by a factor of two for small detection error probabilities. This is because, the sequential hypothesis test requires less (average) number of pixels to detect the presence/absence of a watermark compared to a fixed sample size detector. The savings in the number of pixels to be watermarked results in an increased immunity to host signal attacks such as cropping. Degradation in the signal quality due to redundant watermarking is also minimized. Further, applications such as DVD require minimal amount of watermarking. The computational efficiency of the proposed watermark detector can also be exploited to efficiently search for watermarks in large image databases.
机译:到目前为止,已经研究了水印设计和检测作为两个单独的问题。然而,我们表明,如果水印算法基于水印检测方法,则可以实现显着的增益。对于基于顺序假设测试而不是固定样本尺寸测试的水印检测器,对于小检测误差概率,水印像素的数量几乎可以减小两倍。这是因为,与固定样本大小检测器相比,顺序假设测试需要较少(平均)的像素以检测水印的存在/不存在。要水印的像素数量的节省会导致对诸如裁剪的主机信号攻击的免疫力增加。由于冗余水印引起的信号质量的降解也被最小化。此外,DVD的应用需要最少量的水印。也可以利用所提出的水印检测器的计算效率以有效地搜索大图像数据库中的水印。

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