A team of scientists has used GPU-accelerated deep learning to show how colour can be brought to night-vision systems.
In a paper published in the journal PLOS One, a team of researchers at the University of California, Irvine led by Professor Pierre Baldi and Dr Andrew Browne, describes how they reconstructed color images of photos of faces using an infrared camera.
The study is a step toward predicting and reconstructing what humans would see using cameras that collect light using imperceptible near-infrared illumination.
