Teaching AI to identify colors in the dark

Conventional visible spectrum photographs are composed of red, green and blue channels in the visible spectrum. The authors used infrared images of 3 different wavelengths and deep learning to predict the visible spectrum image. Credit: Browne Lab, UC Irvine Department of Ophthalmology, CC-BY 4.0 (creativecommons.org/licenses/by/4.0/)

A team of researchers at the University of California used deep learning to enable limited color vision in the dark. The group published a paper describing their work on the open-access site PLOS ONE.

As the researchers note, humans are able to see light in the spectrum 400 to 700 nm—objects appear to have certain …
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