In order to solve the problem about the loss of detail information of difference maps in the change detection of synthetic aperture radar (SAR) images, a deblurring processing method for the pixel level change detection of SAR images is proposed. Based on the theoretical analysis of the distribution of pixels missed from the difference map, a new method for constructing the difference map is proposed. The difference map generated by this proposed algorithm is fused with the difference map generated by the classical pixel-level change detection algorithm to realize the edge deblurring of the difference map. Taking the average ratio algorithm as an example, the experimental results show that the difference information obtained by the proposed algorithm and that by the neighborhood change detection algorithm are highly complementary. The difference map generated from deblurring by the proposed algorithm is subjectively closer to the change of the real ground object. Objectively, the numbers of the missed points of change detection results are reduced, and the accuracy of change detection is improved.