Single-shot compressed ultrafast photography based on U-net network

Zhang, Anke and Wu, Jiamin and Suo, Jinli and Fang, Lu and Qiao, Hui and Li, David Day-Uei and Zhang, Shian and Fan, Jiantao and Qi, Dalong and Dai, Qionghai and Pei, Chengquan (2020) Single-shot compressed ultrafast photography based on U-net network. Optics Express, 28 (26). pp. 39299-39310. 398083. ISSN 1094-4087

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    The compressive ultrafast photography (CUP) has achieved real-time femtosecond imaging based on the compressive-sensing methods. However, the reconstruction performance usually suffers from artifacts brought by strong noise, aberration, and distortion, which prevents its applications. We propose a deep compressive ultrafast photography (DeepCUP) method. Various numerical simulations have been demonstrated on both the MNIST and UCF-101 datasets and compared with other state-of-the-art algorithms. The result shows that our DeepCUP has a superior performance in both PSNR and SSIM compared to previous compressed-sensing methods. We also illustrate the outstanding performance of the proposed method under system errors and noise in comparison to other methods.