In order to obtain true-color night vision images loyal to the visual characteristics of human eyes, a three-band true-color night vision spectral division method was proposed based on the principle of minimum Euclidean distance according to the night spectral characteristics of typical targets and the imaging model of low-light-level night vision system. The experiments based on spectral division method proposed in this work and the traditional method were set up in laboratory and outdoor scenes. Compared with the traditional spectral division method, the proposed method has a better color restoration effect for typical target (green vegetation). Through the analysis of the details (spatial frequency) of the true-color night vision image obtained by the proposed method, the results show that the spatial frequency increases by 61.2% and 52.0% respectively compared with the original low-light-level images. Therefore, night visible light can be separated into three bands by spectral division method based on minimum Euclidean distance, and its spectral information can be effectively utilized to obtain true color night vision images with natural color and richer information than the original low-light level images for typical targets.