为解决Contourlet变换域中乘性水印的检测问题，根据广义高斯分布描述图像Contourlet变换高频方向子带系数的统计分布特征，在服从广义高斯分布的系数中，将水印的检测问题转化为了具有未知参数的确定性伪随机序列的检测问题，利用双边假设检验推导出了适用于Contourlet域乘性水印的盲检测器。实验表明，该盲检测器的判决准，对任何嵌入强度均有效，并且可以自适应地确定检测阈值。

To solve Contourlet transform domain multiplicative watermark detection problem, the characters of high frequency directional subband coefficients in Contourlet transform were statistically modeled using generalized Gaussian distribution. Detection of the pseudo-random sequences with unknown parameters in generalized Gaussian distribution coefficients was used to formulate the framework of watermark detection. By using two-sided hypothesis testing theory, a blind detector applicable to Contourlet domain multiplicative watermarks was constructed. Experiments showed that the decision rule of the blind detector was valid for any embedding strength, and the detection threshold can also be determined adaptively.