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简单光学系统的宽光谱点扩散函数估计

郑云达 黄玮 潘云 徐明飞 贾树强 张晓菲 卢勇男

郑云达, 黄玮, 潘云, 徐明飞, 贾树强, 张晓菲, 卢勇男. 简单光学系统的宽光谱点扩散函数估计[J]. 中国光学, 2019, 12(6): 1418-1430. doi: 10.3788/CO.20191206.1418
引用本文: 郑云达, 黄玮, 潘云, 徐明飞, 贾树强, 张晓菲, 卢勇男. 简单光学系统的宽光谱点扩散函数估计[J]. 中国光学, 2019, 12(6): 1418-1430. doi: 10.3788/CO.20191206.1418
ZHENG Yun-da, HUANG Wei, PAN Yun, XU Ming-fei, JIA Shu-qiang, ZHANG Xiao-fei, LU Yong-nan. Wide-spectrum PSF estimation for simple optical system[J]. Chinese Optics, 2019, 12(6): 1418-1430. doi: 10.3788/CO.20191206.1418
Citation: ZHENG Yun-da, HUANG Wei, PAN Yun, XU Ming-fei, JIA Shu-qiang, ZHANG Xiao-fei, LU Yong-nan. Wide-spectrum PSF estimation for simple optical system[J]. Chinese Optics, 2019, 12(6): 1418-1430. doi: 10.3788/CO.20191206.1418

简单光学系统的宽光谱点扩散函数估计

doi: 10.3788/CO.20191206.1418
基金项目: 应用光学国家重点实验室资助
详细信息
  • 中图分类号: TP394.1;TH691.9

Wide-spectrum PSF estimation for simple optical system

Funds: Supported by the State Key Laboratory of Applied Optics
More Information
    Author Bio:

    ZHENG Yunda (1992—), Ph.D., male, from Yanbian, Jilin, obtained a bachelor's degree from the University of Science and Technology of China in 2014, he is mainly engaged in research in image restoration and optical design.E-mail:yundazheng@foxmail.com

    HUANG Wei (1965—), researcher and doctoral tutor, male, from Jilin Changchun, he is mainly engaged in the research of optical systems design.E-mail:huangw@ciomp.ac.cn

    Corresponding author: HUANG Wei, E-mail:huangw@ciomp.ac.cn
  • 摘要: 为了准确获取简单光学系统的点扩散函数(PSF),提升图像复原质量,本文提出了一种基于PSF测量的宽光谱PSF估计方法。首先,测量了光学系统的窄带PSF,并结合图像匹配算法,标定了实际光学系统中的探测器位置和光轴中心偏移。然后,模拟实际光学系统各波长、各视场的PSF,再结合目标反射光谱和探测器光谱敏感信息计算实际目标的宽光谱PSF。实验结果表明:本文提出的PSF估计方法明显优于窄带PSF估计和盲估计方法,复原图片质量和稳定性均有明显提升,能够准确估计实际光学成像系统的PSF。
  • 图  1  本文提出的宽光谱PSF估计的流程图

    Figure  1.  Flow chart of the proposed wide-spectrum PSF estimation

    图  2  窄带PSF测量的实验装置示意图

    Figure  2.  Schematic diagram of experimental step for narrow-band PSF measurement

    图  3  自制简单相机结构图

    Figure  3.  Configuration of the self-designed simple camera

    图  4  自制简单相机的实物图

    Figure  4.  Prototype of self-designed simple camera

    图  5  探测器位置匹配曲线

    Figure  5.  Sensor-position matching curve

    图  6  测量PSF与匹配的模拟PSF对比

    Figure  6.  Comparison of measured PSFs and matching simulated PSFs

    图  7  目标板反射光谱

    Figure  7.  Reflectance spectrum of target board

    图  8  实际成像系统空间变化的宽光谱PSF

    Figure  8.  Spatially varying wide-spectrum PSF of the real imaging system

    图  9  “卫星”图像[18]复原结果对比。(a)模糊图;(b)Krishnan盲估PSF复原结果;(c)单波长PSF复原结果;(d)本文估计PSF的复原结果

    Figure  9.  Comparison of restored results for "satellite" image[18]. (a)Blurred image, (b)restored results of Krishnan′s blind-estimated PSF, (c)restored results of single-wavelength PSF and (d)restored results of proposed method

    图  10  “标靶”图像复原结果对比。(a)模糊图;(b)Krishnan盲估PSF复原结果;(c)单波长PSF复原结果;(d)本文估计PSF的复原结果

    Figure  10.  Comparison of restored results for target image. (a)Blurred image, (b)restored results of Krishnan′s blind-estimated PSF, (c)restored results of single-wavelength PSF and (d)restored results of proposed method

    表  1  自制简单相机的镜头参数

    Table  1.   Lens parameters of the self-designed simple camera

    Surface Radius Thickness Glass
    Object Infinity Infinity
    1 31.84 4.00 HK9L_CDGM
    2 125.56 5.80
    stop Infinity 5.80
    4 21.29 3.50 HK9L_CDGM
    5 109.53 25.42
    Image Infinity 0
    下载: 导出CSV

    表  2  图像灰度平均梯度对比

    Table  2.   Comparison of image grayscale mean gradients

    Satellite Target
    Blurred image 0.002 4 0.003 1
    Krishnan et al. 0.006 9 0.008 5
    Using 532 nm PSF 0.108 0 0.013 1
    Ours 0.109 0 0.014 1
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-01-10
  • 修回日期:  2019-03-09
  • 刊出日期:  2019-12-01

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