At present, there are different degrees of saturation area in a large number of low illumination images,these images are mainly formed due to the large difference in the brightness of the foreground and background. For these kinds of low illumination images, how to enhance the low illumination area while retaining the detailed texture of the saturated area as much as possible has become a difficult point for research. A low illumination image enhancement algorithm based on light remapping is proposed. Starting from the camera imaging principle, the algorithm uses the camera response model to readjust the brightness information through regionalization processing and nonlinear transformation. Experimental results show that the proposed algorithm has the advantages of wide enhancement area, high texture fidelity, and fast speed, etc., which has achieved good results in the subjective visual evaluation and objective indicators.