In view of the fact that the current robust watermarking is difficult to resist both conventional attacks and geometric attacks,a new contourlet watermarking algorithm is proposed.In this watermark embedding stage,the host image is transformed by discrete wavelet transform and non-subsampled contourlet transform,and the watermark is embedded into the high frequency subband with the maximum entropy,which solves the problems that embedding the watermark in the low frequency can not resist geometric attacks and high frequency can not resist conventional attacks such as filtering.The embedded area is encrypted before the watermark is embedded,which improves the security of the algorithm.In the watermark extraction stage,the watermark is geometrically corrected and extracted by using Zernike moments,which further improves the anti-geometric attack ability of the algorithm.Finally,the algorithm is evaluated by peak signal-to-noise ratio and normalized coefficient to verify the imperceptibility and robustness of the algorithm.Simulation results show that the algorithm performs well on different host images and watermark images.On the basis of good invisibility,the algorithm not only has good resistance to conventional attacks such as filtering and noise,but also has strong robustness to geometric attacks such as translation and rotation,and the normalization coefficient (NC) value is more than 0.99.