  Night vision imaging is a technology that converts non-visible object to
human eyes into visible image in night and other low light environments.
However, the conventional night vision imaging can only directly produce
grayscale image. Here, we propose a novel night vision imaging method based on
intensity correlation of light. The object's information detected by infrared
non-visible light is expressed by visible light via the spatial intensity
correlation of light. With simple data processing, a color night vision image
can be directly produced by this approach without any pseudo-color image
processing. Theoretical and experimental results show that a color night vision
image comparable to classical visible light imaging quality can be obtained by
this method. Surprisingly, the color colorfulness index of the reconstructed
night vision image is significantly better than that of the conventional
visible light image and pseudo-color night vision image. Although the
reconstructed image can not completely restore the natural color of the object,
the color image obtained by this method is more natural sense than that
obtained by other pseudo-color image processing methods.
