The near infrared radiation is the main component of the solar radiation. It's widely used in the remote sensing, nightvision, spectral detection et al. The NIR images are usually monochromatic, while color images are benefit for scene reconstruction and object detection. In this paper a new computed color imaging method based on the neighborhood statistics lookup table for NIR and visible was presented, and its implementation system was built. The neighborhood statistics lookup table was established based on the neighborhood statistical properties of the image. The use of the neighborhood statistical properties can enriched the color transmission variables of the gray image. It obtained a colorful lookup table that could improve the effects of the color transfer and make the colorized image more natural. The proposed lookup table could also transfer the color details well for the neighborhood statistical information representing the texture of the image. The results shows that this method yields a color image with natural color appearance and it can be implemented in real-time.