Abstract: The polarization imaging detecting can reflect more information that the traditional optics cannot reflect. On the basis of the existing methods of the polarized image fusion, an image fusing method based on comprehensive image features was proposed to overcome the shortcoming that detailed information would be lost during the calculation of polarization parameter images. By extracting the image-s gray scale, texture and shape features to determine the weight of fusion, the polarized images were fused, and the result of fusion was good, the variance and information entropy increased by 12.6% and 17.5%, respectively, the average gradient increased from 0.59 to 1.83. However, the feature of the method needed higher dimension, a simplified algorithm was provided to improve the operation efficiency which could reduce the time from 3054 to 1337.