| 3 | Single-shot real-time compressed ultrahigh-speed imaging enabled by a snapshot-to-video autoencoder显示文摘Single-shot 2 D optical imaging of transient scenes is indispensable for numerous areas of study.Among existing techniques,compressed optical-streaking ultrahigh-speed photography(COSUP)uses a cost-efficient design to endow ultrahigh frame rates with off-the-shelf CCD and CMOS cameras.Thus far,COSUP’s application scope is limited by the long processing time and unstable image quality in existing analytical-modeling-based video reconstruction.To overcome these problems,we have developed a snapshot-to-video autoencoder(S2 V-AE)—which is a deep neural network that maps a compressively recorded 2 D image to a movie.The S2 V-AE preserves spatiotemporal coherence in reconstructed videos and presents a flexible structure to tolerate changes in input data.Implemented in compressed ultrahigh-speed imaging,the S2 V-AE enables the development of single-shot machine-learning assisted real-time(SMART)COSUP,which features a reconstruction time of 60 ms and a large sequence depth of 100 frames.SMART-COSUP is applied to wide-field multiple-particle tracking at 20,000 frames per second.As a universal computational framework,the S2 V-AE is readily adaptable to other modalities in high-dimensional compressed sensing.SMART-COSUP is also expected to find wide applications in applied and fundamental sciences. | XIANGLEI LIU JOÃO MONTEIRO ISABELA ALBUQUERQUE YINGMING LAI CHENG JIANG SHIAN ZHANG TIAGO H.FALK JINYANG LIANG | 2021 | Photonics Research2021，9，12： | 0 |
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