High-resolution images are widely used in our everyday life; however, high-speed video capture is more challenging due to the low frame rate of cameras working at the high-resolution mode. The main bottleneck lies in the low throughput of existing imaging systems. Toward this end, snapshot compressive imaging (SCI) was proposed as a promising solution to improve the throughput of imaging systems by compressive sampling and computational reconstruction. During acquisition, multiple high-speed images are encoded and collapsed to a single measurement. Then, algorithms are employed to retrieve the video frames from the coded snapshot. Recently developed plug-and-play algorithms made the SCI reconstruction possible in large-scale problems. However, the lack of high-resolution encoding systems still precludes SCI’s wide application. Thus, in this paper, we build, to the best of our knowledge, a novel hybrid coded aperture snapshot compressive imaging (HCA-SCI) system by incorporating a dynamic liquid crystal on silicon and a high-resolution lithography mask. We further implement a PnP reconstruction algorithm with cascaded denoisers for high-quality reconstruction. Based on the proposed HCA-SCI system and algorithm, we obtain a 10-mega-pixel SCI system to capture high-speed scenes, leading to a high throughput of 4.6×109 voxels per second. Both simulation and real-data experiments verify the feasibility and performance of our proposed HCA-SCI scheme.
@article{Li21SPY,
author = {Zhang, Zhihong and Deng, Chao and Liu, Yang and Yuan, Xin and Suo, Jinli and Dai, Qionghai},
title = {Ten-mega-pixel snapshot compressive imaging with a hybrid coded aperture},
journal = {Photonics Research},
doi = {10.1364/PRJ.435256},
year = {2021},
month = {11},
volume = {9},
number = {11},
pages = {2277--2287},
url = {https://doi.org/10.1364/PRJ.435256},
publisher = {Optica Publishing Group},
type = {Journal Article}
}