• Laser & Optoelectronics Progress
  • Vol. 61, Issue 22, 2211003 (2024)
Siqi Liu and Feihong Yu*
Author Affiliations
  • College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, Zhejiang , China
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    DOI: 10.3788/LOP240580 Cite this Article Set citation alerts
    Siqi Liu, Feihong Yu. Smooth Automatic Exposure Algorithm with Adaptive Damping for CMOS Camera[J]. Laser & Optoelectronics Progress, 2024, 61(22): 2211003 Copy Citation Text show less
    Diagram of proportional coefficient method
    Fig. 1. Diagram of proportional coefficient method
    Diagram of local linear fitting method
    Fig. 2. Diagram of local linear fitting method
    Exposure time variation after applying damping
    Fig. 3. Exposure time variation after applying damping
    Flow chart of status I
    Fig. 4. Flow chart of status I
    Overall flowchart of status II-V
    Fig. 5. Overall flowchart of status II-V
    Flow chart of algorithm 1
    Fig. 6. Flow chart of algorithm 1
    Flow chart of status II
    Fig. 7. Flow chart of status II
    Possible combinations of exposure in state II
    Fig. 8. Possible combinations of exposure in state II
    Flow chart of algorithm 2
    Fig. 9. Flow chart of algorithm 2
    Flow chart of status III
    Fig. 10. Flow chart of status III
    Flow chart of status IV
    Fig. 11. Flow chart of status IV
    Flow chart of status V
    Fig. 12. Flow chart of status V
    Experimental images of the automatic exposure algorithm. (a) Experimental images of biological slices under a microscope; (b) OLED screen under a stereomicroscope; (c) (d) exposure results when the ROI is placed in different positions
    Fig. 13. Experimental images of the automatic exposure algorithm. (a) Experimental images of biological slices under a microscope; (b) OLED screen under a stereomicroscope; (c) (d) exposure results when the ROI is placed in different positions
    Grayscale histogram of Fig. 13 (c),(d)
    Fig. 14. Grayscale histogram of Fig. 13 (c),(d)
    The curves of exposure time variation over time. (a) Introducing adaptive damping; (b) not introducing adaptive damping
    Fig. 15. The curves of exposure time variation over time. (a) Introducing adaptive damping; (b) not introducing adaptive damping
    No.Time before exposure /msGain beforeConvergence time /s
    1500.659
    25021×0.814
    30.010.550
    40.0121×0.608
    525.7980.644
    0.7980.631
    30.7980.466
    10.7980.433
    20.7980.471
    5.7980.259
    Average convergence time /s0.554
    Table 1. Convergence timetable of experiments 1‒5
    No.Exposure targetExposure target after adjustmentConvergence time /s
    Average convergence time /s0.420
    11201400.185
    2140350.521
    3351480.857
    41351080.233
    51082120.501
    6212160.225
    Table 2. Convergence time of adjusting of exposure target 6 times