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 Pei, Chengquan and Dai, Qionghai (2020) Single-shot compressed ultrafast photography based on U-net network. Optics Express. ISSN 1094-4087 (In Press)

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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 to previous compressed-sensing methods. We also illustrate the outstanding performance of the proposed method under system errors and noise comparing to other methods.