In view of the fact that the current robust watermarking is difficult t o resist both conventional attacks and geometric attacks,a new contourlet watermarking algori thm is proposed. In this watermark embedding stage,the host image is transformed by discrete wav elet 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 embed ding the watermark in the low frequency can not resist geometric attacks and high frequen cy can not resist conventional attacks such as filtering.The embedded area is encrypted before th e watermark is embedded,which improves the security of the algorithm.In the watermark extract ion stage,the watermark is geometrically corrected and extracted by using Zernike moments,whi ch further improves the anti-geometric attack ability of the algorithm.Finally,the algor ithm is evaluated by peak signal-to-noise ratio and normalized coefficient to verify the impercepti bility and robustness of the algorithm.Simulation results show that the algorithm performs well on di fferent host images and watermark images.On the basis of good invisibility,the algorithm no t only has good resistance to conventional attacks such as filtering and noise,but also has str ong robustness to geometric attacks such as translation and rotation,and the normalization coefficient (NC) value is more tha n 0.99.