提出了一种分级多尺度融合的水下偏振图像处理方法.首先，利用非负矩阵分解对偏振参量图像进行融合增强，得到所含局部特征信息完整且冗余度低的偏振参量融合图像；在此基础上，基于二维经验模式分解分别将偏振参量融合图像与偏振强度图像进行多尺度变换，对得到的高低频子图像分别进行加权平均融合，融合权重是采用穷举搜索法计算得到；最后，将高低频融合结果反变换得到最终融合图像.实验仿真结果表明该融合方法在增强图像细节信息及提高水下偏振图像对比度方面具有显著效果.

An efficient hierarchical multi-scale image fusion method was proposed. Several polarization parametric images were fused for enhancement by non-negative matrix factorization. A polarization parametric fusion image was obtained. This image contained complete polarization information with low redundancy. Then, with two-dimensional empirical mode decomposition, polarization parameters fusion image and polarization intensity image were decomposed. High-frequency component and low-frequency component were fused by weighted average function. In order to determine fusion weight, exhaustive search method was taken. Finally, the given results of high-frequency sub-images and low-frequency sub-images were inverse transformed. The experiments demonstrate that the proposed fusion method has the ability to enhance the details and contrast of polarization image.