Acta Optica Sinica, Volume. 45, Issue 11, 1111002(2025)

Infrared Super-Resolution Imaging Using Minimalist Optical Systems

Ting Wang1,2, Chao Wang1,2、*, Xinkai Wu1,2, Hongyu Sun1, and Jianan Liu1
Author Affiliations
  • 1Institute of Space Optoelectronics Technology, Changchun University of Science and Technology, Changchun 130022, Jilin , China
  • 2School of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022, Jilin , China
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    Figures & Tables(18)
    Overall scheme of proposed algorithm
    Optical path diagram and MTF curve diagram of the overall optical system. (a) Optical path diagram; (b) MTF curve diagram
    Structure diagram of the projection lens before simplified design
    MTF curve diagram of the projection lens before simplified design
    Structure diagram of the projection lens after simplified design
    MTF curve diagram of the projection lens after simplified design
    PSF of each field of view after the system is simplified
    Visualization comparison chart
    Super-resolution restoration results under different iteration counts. (a) PSNR curves; (b) SSIM curves
    Experimental setup
    Reconstruction results of different algorithms. (a) Encoding pattern loaded on DMD; (b) image captured by the system; (c) super-resolution reconstruction using bicubic interpolation; (d) SCSR; (e) super-resolution restoration result image
    Outdoor target scene distance
    Comparison of outdoor scene imaging
    • Table 1. Technical indicators of the overall optical system

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      Table 1. Technical indicators of the overall optical system

      Performance metricValue
      Optical system caliber /mm66
      F-number1
      Effective focal length /mm88
      Field of view /[(°)×(°)]2.5×2.5
      Operating band /μm8‒12
      DMD to detector pixel ratio2∶1
    • Table 2. Comparison of materials and surface shapes of projection lenses before and after simplified design

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      Table 2. Comparison of materials and surface shapes of projection lenses before and after simplified design

      Simplified stateMaterialSurface tired type
      BeforeIRG206Standard
      Standard
      ZnSeEven asphere
      Even asphere
      GeEven asphere
      Standard
      AfterIRG206Standard
      Standard
      GeEven asphere
      Even asphere
    • Table 3. Comparison of the effects of different restoration algorithms

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      Table 3. Comparison of the effects of different restoration algorithms

      MethodPSNRSSIMRMSEPSNR improvementrate /%SSIM improvementrate /%RMSE reductionrate /%
      Degenerate image15.490.5140.23
      Blind deconvolution23.530.7830.12505425
      Wiener22.470.7529.16454728
      LR (n=15)17.760.5837.8415146
      LR (n=30)19.560.6435.06262513
      LR (n=50)21.150.6734.10373115
      Ours27.840.8725.83787136
    • Table 4. Comparison of experimental effect indicators

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      Table 4. Comparison of experimental effect indicators

      MethodPSNRSSIMRMSEPSNR improvementrate /%SSIM improvementrate /%RMSE reductionrate /%
      Degenerate image12.850.4937.62
      Bicubic interpolation17.680.6332.3437.028.014
      SCSR17.940.6532.6539.032.013
      Ours20.370.7727.4658.557.127
    • Table 5. Performance metric comparison in field tests

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      Table 5. Performance metric comparison in field tests

      Target sceneEvaluation metricsBeforeAfter
      1PIQE54.5747.49
      NIQE8.105.13
      2PIQE69.3950.95
      NIQE7.754.09
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    Ting Wang, Chao Wang, Xinkai Wu, Hongyu Sun, Jianan Liu. Infrared Super-Resolution Imaging Using Minimalist Optical Systems[J]. Acta Optica Sinica, 2025, 45(11): 1111002

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    Paper Information

    Category: Imaging Systems

    Received: Jan. 24, 2025

    Accepted: Apr. 9, 2025

    Published Online: Jun. 23, 2025

    The Author Email: Chao Wang (nicklo19992009@163.com)

    DOI:10.3788/AOS250541

    CSTR:32393.14.AOS250541

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