目的 提出一种基于伪Zernike矩和DWT-SVD的抗旋转图像盲水印算法。方法 对原始图像内切圆的内接正方形区域进行二级小波变换，对其低频子带进行奇异值分解。在一定的嵌入强度下将水印叠加到奇异值矩阵中，实现水印的嵌入。记录含水印图像的伪Zernike矩的相位信息用于检测旋转角度，在提取水印时校正旋转攻击。结果 仿真结果表明，该算法水印的不可见性很好，PSNR值高达45.12，提取的水印与原水印相似度很高，NC值为1。该算法对旋转攻击具有很强的鲁棒性，对常见的信号处理攻击具有很强的鲁棒性。结论 该算法对任意角度的旋转攻击都有很强的鲁棒性，能满足数字产品的版权保护需要。

The work aims to propose a blind watermarking algorithm for anti-rotation images based on pseudo Zernike moments and DWT-SVD. First of all, the secondary wavelet transform was done on inscribed square area in the inscribed circle of the original image. SVD decomposition was made for the low-frequency sub-bands. In a certain embedding strength, the watermark was added to the singular value matrix and the watermark embedding was achieved. Finally, the phase information of the pseudo Zernike moments of the watermark image was recorded to detect the rotation angle and to correct the rotation attack in the watermark extracting process. Simulation results indicated that the algorithm had a good visibility that the PSNR value was as high as 45.12, the similarity of the extracted watermark and the original watermark was high, and the NC value was 1. The robustness of the proposed algorithm to rotation attacks was strong and had a good robustness to the common signal processing attacks. This algorithm has strong robustness for resistance against rotation attacks at any angle, and can satisfy the needs of digital products’ copyright protection.