A new digital watermark detector is proposed in this paper, which is based on attacks characteristics complementary between different image processings.
这里基于图像处理的攻击特性的互补提出了一种新的数字水印相关检测器。
Moreover, a classification technique of watermark weights is used, which makes the performance of the detector approximate to that of watermark detectors using original host data.
利用对水印加权的分组技术，盲水印检测器在性能上逼近非盲水印检测器。
Experimental results show that this watermark detector has not only the good robustness to Gaussian noise, but also the very strong resistant ability to translation and rotation attacks.
实验结果表明，该水印检测器不仅对旋转、平移攻击有很强的抵抗能力，而且对随机高斯噪声也具有良好的鲁棒性。
The experiment result shows that the synchronization method can synchronize the detector with the watermark perfectly and that the watermark is robust to affine transformation attack.
实验表明，使用该方法能较好地恢复图像，有效地同步水印检测器与水印信号，从而使水印对仿射变换攻击具有鲁棒性。
In watermark detection, the optimum detector is used to implement the blind detection.
在水印的检测方面，最优检测器实现水印的盲检测。
In watermark detection, the optimum detector is used to implement the blind detection.
在水印的检测方面，最优检测器实现水印的盲检测。
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