基于DWT域乘嵌入音频水印的优化检测算法

Multiplicative audio watermarking detection algorithm based on DWT

对以固定嵌入强度和未知嵌入强度的小波域乘性音频水印的优化检测算法进行了研究。利用广义高斯分布对音频低频小波系数建立统计分布模型,并使用统计决策理论知识分别对固定嵌入强度和未知嵌入强度的检测统计量进行确定,利用Neyman-Pearson准则对两种嵌入强度的算法的检测阈值进行计算,并对检测算法进行了仿真。实验结果表明,对于固定嵌入强度与未知嵌入强度的乘水印的盲检测算法,该检测算法的性能比音频水印算法中常使用的相关检测的性能优越。

This paper studies the optimum detection model of muhiplicative audio watermarking with fixed embedded strength and unknown embedded strength in discrete wavelet transform （DWT） domain. The generalized Gaussian distribution （GGD） is chosen to statistically model the wavelet coefficients of low frequency sub-bands coefficients. The detection statistics of two different embedded strengths are derived according to statistical decision theory and the detection thresholds are computed using the Neyman-Pearson criteria. Experimental results show that the performance of the new method is better than that of the related detection methods.