The traditional imaging techniques have less information and the traditional image fusion methods need large calculation capability.That result in the weak capability to highlight the edge profile.To solve this problem,a kind of polarization image secondary fusion method based on the multi-scale edge representation was proposed.Firstly,the preprocessings of multi-scale edge denoising and registration were carried out for the 4 polarization images which were obtained from the same polarization imaging system.Then the binary wavelet decomposition was done for 4 polarization images after the preprocessing,and specific combination was done for low-frequency coefficient and high-frequency coefficient at different scales,and then the polarization informations were calculated and gotten,such as Stokes vector［I Q U V］ T,linear polarization degree(DOLP) and polarization phase Angle(AOP);the high-frequency coefficients were fused after wavelet decomposition of polarization intensity image and linear polarization degree image based on the edge correlation principle,and the fusion of low-frequency coefficients use regional energy method.Finally,the alternating projection iterative method was used to reconstruct low-frequency and high-frequency coefficient of fusion image,and reconstructed image was obtained.Experimental results show that the fusion performance of the proposed algorithm is better than traditional methods.Taking wavelet transform method as a reference,the average value increases by 65.48%,standard deviation increases by 95.98%,the average gradient is 6.45 times of the traditional wavelet,edge strength is 5.54 times of the wavelet transform.This algorithm improves the calculation speed,has both the brightness information of intensity image and the feature of linear polarization image,which can reflect properties of different objects,highlight the target contour details and can identify hidden,camouflaged targets.