基于正交水印的盲水印检测技术

提出一种稳健的盲水印检测技术.利用水印信号与主数据之间的正交性,水印检测时 不需要使用原始数据并且可以彻底消除主数据噪声的干扰,从而大大提高了水印检测器的稳健 性.无论是根据Neyman-Pearson准则还是最小错误概率准则,理论分析表明本文检测器在性能 上可以取得很大改善.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.各种失真下的实验结果表明这种盲水印检测技术是有效的.

Watermark Detection Technique Using Orthogonal Watermark

A robust blind watermark detection technique is proposed. Through the orthogonality design between watermark signal and host data, the interference of the host data noise can be completely eliminated, which greatly improves the performance of the proposed blind watermark detector. The analysis shows that the detector outperforms other blind watermark detectors using either Neyman-Pearson criterion or Minimum Error Probability criterion. 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. Experimental results verify the performance of the watermark detector under different distortions.