Artificial intelligence could help night vision cameras see color in the dark

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Could an AI algorithm better predict colors in an image from a night vision camera that uses multiple wavelengths of infrared light?

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The typical security camera equipped with night vision makes use of a single color and wavelength of infrared light, which is longer than 700 nanometers, to create a scene. Infrared light is part of the electromagnetic spectrum that’s invisible to the naked eye. These waves have beento study thermal energy; infrared light signals are also what some remote controls use to communicate with the television screen.

To test this, they used a monochrome camera that responded to light from the visible and infrared spectrum. Most color cameras capture three different colors of light: red , green and blue . In addition to capturing the sample set of images with those colors of light shone on them, the experimental apparatus also took pictures in the dark under three different wavelengths of infrared light at 718, 777, and 807 nm.

 

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