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Acta Optica Sinica, Volume. 40, Issue 14, 1411005(2020)

Faint-Object Imaging of Diffractive Telescopes Based on Image Restoration

Jingjing Yang1,2,3、***, Shuai Wang1,2、**, Lianghua Wen1,2,4, Ping Yang1,2, Wei Yang1,2, Chunlin Guan1,2, and Bing Xu1,2、*
Author Affiliations
  • 1Key Laboratory of Adaptive Optics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 2Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
  • 4School of Physics and Electronic Engineering, Yibin University, Yibin, Sichuan 644600, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (8)
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    Figures & Tables(8)
    Flow chart of ABM3D algorithm

    Fig. 1. Flow chart of ABM3D algorithm

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    Resolution board and simulated MTF curve. (a) Original image; (b) simulated MTF curve

    Fig. 2. Resolution board and simulated MTF curve. (a) Original image; (b) simulated MTF curve

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    Comparison of simulation restoration results of resolution boards. (a) Raw images; (b) restored images by Awn algorithm; (c) restored images by ABM3D algorithm

    Fig. 3. Comparison of simulation restoration results of resolution boards. (a) Raw images; (b) restored images by Awn algorithm; (c) restored images by ABM3D algorithm

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    Parameter results for images with and without restoration under different noise levels. (a) PSNR; (b) SSIM

    Fig. 4. Parameter results for images with and without restoration under different noise levels. (a) PSNR; (b) SSIM

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    Experimental setup and light path diagram of diffractive telescope imaging system

    Fig. 5. Experimental setup and light path diagram of diffractive telescope imaging system

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    MTFs of diffractive telescope imaging system

    Fig. 6. MTFs of diffractive telescope imaging system

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    Comparison of experimental restoration results of resolution boards. (a) Output images; (b) restored images by Awn algorithm; (c) restored images by ABM3D algorithm

    Fig. 7. Comparison of experimental restoration results of resolution boards. (a) Output images; (b) restored images by Awn algorithm; (c) restored images by ABM3D algorithm

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    Pixel traces. (a) σ=0.02; (b) σ=0.04

    Fig. 8. Pixel traces. (a) σ=0.02; (b) σ=0.04

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    Jingjing Yang, Shuai Wang, Lianghua Wen, Ping Yang, Wei Yang, Chunlin Guan, Bing Xu. Faint-Object Imaging of Diffractive Telescopes Based on Image Restoration[J]. Acta Optica Sinica, 2020, 40(14): 1411005

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    Paper Information

    Category: Imaging Systems

    Received: Jan. 17, 2020

    Accepted: Apr. 13, 2020

    Published Online: Jul. 23, 2020

    The Author Email: Yang Jingjing (yangjingjing233@163.com), Wang Shuai (wangshuai@ioe.ac.cn), Xu Bing (bingxu@ioe.ac.cn)

    DOI:10.3788/AOS202040.1411005

    Topics

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