Simplified summary; recording high speed video is all about compromise. Traditional high speed cameras trade resolution for extra frames. This technique trades

Simplified summary; recording high speed video is all about compromise. Traditional high speed cameras trade resolution for extra frames. This technique trades the bit depth of the sensor for temporal resolution (extra frames). So a 16 bit sensor image is transformed into a monochrome (1 bit black and white) video. This is sufficient for studying high contrast phenomenon like crack propagation and wetting. I wonder if you could use machine learning to “colourise” such a video. Perhaps by combining it with a slower frame rate full bit depth video and let it fill in the gaps.