Photonics Research, Volume. 13, Issue 7, 1936(2025)
Unsupervised reconstruction with low-rank tensor embedding based on spatial-intensity-temporal constraints for compressed ultrafast photography
Fig. 1. (a) The equipment diagram of the proposed SITC-CUP system. (b) From top to bottom: the imaging models of the wide-slit streak camera, the narrow-slit streak camera, and the CCD camera.
Fig. 2. Schematic diagram of the Deep Tensor unsupervised low-rank factorization network.
Fig. 3. Flowchart of the proposed algorithm. Loss: loss function;
Fig. 4. (a) The dynamic compressed image of the wide-slit streak camera in LED10-3 simulation process. (b) The integral image of CCD camera in LED10-3 simulation process, where the blue box area is the slit FoV area. (c) The dynamic image of the narrow-slit streak camera in LED10-3 simulation process.
Fig. 5. Reconstruction results of the natural image datasets by different algorithms, together with the ground truths for comparison. The sub-image at the bottom right corner is the enlarged area in the corresponding red box.
Fig. 6. Reconstruction results of the LED simulation datasets by different algorithms, together with the ground truths for comparison. The sub-image at the bottom right corner is the enlarged area in the corresponding yellow box.
Fig. 7. (a) The relationship between the trigger voltage of DG645 digital delay-pulse generator and time for each row of LEDs. (b) The relationship between normalized intensity and time for each row of LEDs measured by the photodiode.
Fig. 8. (a) The static image of the narrow-slit streak camera in the experiment. (b) The dynamic compressed image of the wide-slit streak camera in the experiment. (c) The integral image of CCD camera in the experiment. (d) The dynamic image of the narrow-slit streak camera in the experiment.
Fig. 9. The calibrated images of (a) wide-slit streak camera and (b) narrow-slit streak camera at specific moments (20 ns interval).
Fig. 10. Reconstruction results of the experiment by different methods.
Fig. 11. (a) The selected area (the white box aera) of the narrow-slit streak camera image. (b) The relationship between the normalized intensity and scanning time of the selected aera in the narrow-slit streak camera image.
Fig. 12. The relationship between normalized intensity and time of the five rows of LEDs for our proposed algorithm. The dashed line indicates the lighting time calculated by choosing 15% peak as the boundary.
Fig. 13. The relationship between normalized intensity and time of the first row of LEDs (a) and the fourth row of LEDs (b) for reconstruction results by different methods.
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Haoyu Zhou, Zhiming Yao, Wenpei Yang, Dongwei Hei, Yang Li, Baojun Duan, Yinong Liu, Liang Sheng, Yan Song, "Unsupervised reconstruction with low-rank tensor embedding based on spatial-intensity-temporal constraints for compressed ultrafast photography," Photonics Res. 13, 1936 (2025)
Category: Imaging Systems, Microscopy, and Displays
Received: Jan. 17, 2025
Accepted: Apr. 27, 2025
Published Online: Jul. 1, 2025
The Author Email: Liang Sheng (shengliang@nint.ac.cn), Yan Song (songyan@nint.ac.cn)
CSTR:32188.14.PRJ.555010