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Opto-Electronic Engineering, Volume. 50, Issue 6, 220208(2023)

Solar image reconstruction by phase diversity with low rank prior

Shuai Wang1...2,3,4, Hua Bao1,3,*, Chunyuan He2,4, Huiqin Rong2,4, Shuqi Li1,3,5, Jialin Hou6, and Changhui Rao13 |Show fewer author(s)
Author Affiliations
  • 1Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 2Yangtze Delta Region Institute of University of Electronic Science and Technology of China, Quzhou, Zhejiang 324003, China
  • 3Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 4University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China
  • 5University of Chinese Academy of Sciences, Beijing 100049, China
  • 666389 Troops, Zhengzhou, Henan 450000, China
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    Figures & Tables(11)
    Schematic diagram of phase diversity imaging channels

    Fig. 1. Schematic diagram of phase diversity imaging channels

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    Simulation results. (a) Original object image; (b) Focused image; (c) Defocused image; (d) Wavefront phase of focused image (rad); (e) PSF of focused image; (f) PSF of defocused image

    Fig. 2. Simulation results. (a) Original object image; (b) Focused image; (c) Defocused image; (d) Wavefront phase of focused image (rad); (e) PSF of focused image; (f) PSF of defocused image

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    Reconstruction results. Top line: Tikhonov; Bottom line: LR. (a) Column: reconstructed image; (b) Column: estimated PSF of focused image; (c) Column: estimated PSF of defocused image; (d) Column: estimated wavefront phase of focused image (rad); (e) Column: residual wavefront phase error (rad)

    Fig. 3. Reconstruction results. Top line: Tikhonov; Bottom line: LR. (a) Column: reconstructed image; (b) Column: estimated PSF of focused image; (c) Column: estimated PSF of defocused image; (d) Column: estimated wavefront phase of focused image (rad); (e) Column: residual wavefront phase error (rad)

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    Image subregion reconstruction results. (a) Column: focused image; (b) Column: Tikhonov; (c) Column: LR; (d) Column: original object image

    Fig. 4. Image subregion reconstruction results. (a) Column: focused image; (b) Column: Tikhonov; (c) Column: LR; (d) Column: original object image

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    Simulation results. (a) Original object image; (b) Focused image; (c) Defocused image; (d) Wavefront phase of focused image; (e) PSF of focused image (rad); (f) PSF of defocused image

    Fig. 5. Simulation results. (a) Original object image; (b) Focused image; (c) Defocused image; (d) Wavefront phase of focused image; (e) PSF of focused image (rad); (f) PSF of defocused image

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    Reconstruction results. Top line: Tikhonov; Bottom line: LR. (a) Column: reconstructed image; (b) Column: estimated PSF of focused image; (c) Column: estimated PSF of defocused image; (d) Column: estimated wavefront phase of focused image (rad); (e) Column: residual wavefront phase error (rad)

    Fig. 6. Reconstruction results. Top line: Tikhonov; Bottom line: LR. (a) Column: reconstructed image; (b) Column: estimated PSF of focused image; (c) Column: estimated PSF of defocused image; (d) Column: estimated wavefront phase of focused image (rad); (e) Column: residual wavefront phase error (rad)

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    Reconstruction results of subregion. (a) Column: focused image; (b) Column: Tikhonov; (c) Column: LR; (d) Column: original object image

    Fig. 7. Reconstruction results of subregion. (a) Column: focused image; (b) Column: Tikhonov; (c) Column: LR; (d) Column: original object image

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    Reconstructed images with different weight parameter values. (a) λ = 1×10−5; (b) λ = 1×10−3; (c) λ = 1×10−2

    Fig. 8. Reconstructed images with different weight parameter values. (a) λ = 1×10−5; (b) λ = 1×10−3; (c) λ = 1×10−2

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    Iteration curve of the phase objective function. (a) In the noise-free case, Tikhonov; (b) In the noise-free case, LR; (c) In the noise-included case, Tikhonov; (d) In the noise-included case, LR

    Fig. 9. Iteration curve of the phase objective function. (a) In the noise-free case, Tikhonov; (b) In the noise-free case, LR; (c) In the noise-included case, Tikhonov; (d) In the noise-included case, LR

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    • Table 1. Quantitative evaluation of reconstruction results in the noise-free case

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      Table 1. Quantitative evaluation of reconstruction results in the noise-free case

      RMSE/波长PSNR/dBSSIM
      焦面图像/13.910.2166
      Tikhonov0.175618.540.5200
      LR0.149420.450.7494

    • Table 2. Quantitative evaluation of reconstruction results in the noise-included case

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      Table 2. Quantitative evaluation of reconstruction results in the noise-included case

      RMSE/波长PSNR/dBSSIM
      焦面图像/14.720.2318
      Tikhonov0.138719.240.5603
      LR0.129319.800.6226
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    Shuai Wang, Hua Bao, Chunyuan He, Huiqin Rong, Shuqi Li, Jialin Hou, Changhui Rao. Solar image reconstruction by phase diversity with low rank prior[J]. Opto-Electronic Engineering, 2023, 50(6): 220208

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    Paper Information

    Category: Article

    Received: Aug. 28, 2022

    Accepted: Feb. 15, 2023

    Published Online: Aug. 9, 2023

    The Author Email:

    DOI:10.12086/oee.2023.220208

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology