Passive Inter-Photon Imaging
Abstract
Digital camera pixels measure image intensities by converting incident light energy into an analog electrical current, and then digitizing it into a fixed-width binary representation. This direct measurement method, while conceptually simple, suffers from limited dynamic range and poor performance under extreme illumination --- electronic noise dominates under low illumination, and pixel full-well capacity results in saturation under bright illumination. We propose a novel intensity cue based on measuring inter-photon timing, defined as the time delay between detection of successive photons. Based on the statistics of inter-photon times measured by a time-resolved single-photon sensor, we develop theory and algorithms for a scene brightness estimator which works over extreme dynamic range; we experimentally demonstrate imaging scenes with a dynamic range of over ten million to one. The proposed techniques, aided by the emergence of single-photon sensors such as single-photon avalanche diodes (SPADs) with picosecond timing resolution, will have implications for a wide range of imaging applications: robotics, consumer photography, astronomy, microscopy and biomedical imaging.
Cite
Text
Ingle et al. "Passive Inter-Photon Imaging." Conference on Computer Vision and Pattern Recognition, 2021. doi:10.1109/CVPR46437.2021.00848Markdown
[Ingle et al. "Passive Inter-Photon Imaging." Conference on Computer Vision and Pattern Recognition, 2021.](https://mlanthology.org/cvpr/2021/ingle2021cvpr-passive/) doi:10.1109/CVPR46437.2021.00848BibTeX
@inproceedings{ingle2021cvpr-passive,
title = {{Passive Inter-Photon Imaging}},
author = {Ingle, Atul and Seets, Trevor and Buttafava, Mauro and Gupta, Shantanu and Tosi, Alberto and Gupta, Mohit and Velten, Andreas},
booktitle = {Conference on Computer Vision and Pattern Recognition},
year = {2021},
pages = {8585-8595},
doi = {10.1109/CVPR46437.2021.00848},
url = {https://mlanthology.org/cvpr/2021/ingle2021cvpr-passive/}
}