In order to expand application of uncooled short wave infrared array detectors for low-light night vision， a research on low-light imaging of short-wave infrared have carried out. This paper proposes a new image enhancement method to suppress image noise， enhance image details and improve image quality. The proposed schemes use 3DNR （3D noise reduction）， combine the multi-scale Gaussian differential method with the edge preserving filter to separate the high-frequency information and hidden noise of the image to the maximum extent， and then carry out the adaptive grayscale mapping for the image. The experimental results demonstrate that the proposed algorithm outperforms some state-of-the-art algorithms， and it can achieve outstanding image enhancement performance and suppress the time-domain noise of the image under low-light illumination.