We demonstrate an approach that allows taking videos at very high-speeds of over 100,000 frames per second (fps) by exploiting the fast sampling rate of the standard rolling-shutter readout mechanism, common to most conventional sensors, and a compressive-sampling acquisition scheme. Our approach is directly applied to a conventional imaging system by the simple addition of a diffuser to the pupil plane, randomly encoding the entire field-of-view to each camera row, while maintaining diffraction-limited resolution. A short video is reconstructed from a single camera frame via a compressed-sensing reconstruction algorithm, exploiting inherent sparsity of the imaged scene.
@article{arxiv.2004.09614,
title = {100,000 frames-per-second compressive imaging with a conventional rolling-shutter camera by random point-spread-function engineering},
author = {Gil Weinberg and Ori Katz},
journal= {arXiv preprint arXiv:2004.09614},
year = {2020}
}