Ms. Yan Liu Profile

Yan Liu

at Xidian Univ

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Proceedings Article | 18 December 2019 Paper

Laser illumination compressed sensing imaging based on deep learning

Yan Liu, Hanlin Qin, Bingbin Li, Shuowen Yang, Ying Li, Yuxin Yang, Yang Yue

Proceedings Volume 11342, 113420S (2019) https://doi.org/10.1117/12.2548171

KEYWORDS: Imaging systems, Sensors, Digital micromirror devices, Compressed sensing, Image processing

Read Abstract +

In order to compensate for the low spatial resolution of laser illumination imaging system due to the single photon detector with small number of pixels. In order to solve this problem, we demonstrated a laser illumination imaging system with compressed coded and introduced the application of deep learning in compressed sensing (CS) image reconstruction based on residual network. Specifically, by considering the priori information of sparsity, the better imaging results with much higher resolution could be obtained with a small amount of observation data. The digital micro-mirror device (DMD) is used to achieve sparse coding in this work. We designed to use two detectors to collect information in two reflection directions of DMD, which can reduce samples by 50%. In addition, considering that the time complexity of traditional CS reconstruction methods is too high, so we introduced CS reconstruction method based on residual network into our work, and did the simulation experiments with our data. According to the experimental results, our method performed better at the perspective of image quality evaluation index PSNR and consumption time in reconstruction process.

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