• Laser & Optoelectronics Progress
  • Vol. 58, Issue 14, 1401003 (2021)
Shiwei Wang1、2、3, Guixiang Zhang1、3、*, Wei Xu1、3, Yongjie Wu1、2、3, and Shuping Tao1、3
Author Affiliations
  • 1Changchun Institute of Optics, Fine Mechanics and Physics,Chinese Academy of Sciences, Changchun, Jilin 130033, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Key Laboratory of Space-Based Dynamic & Rapid Optical Imaging Technology, Chinese Academy of Sciences, Changchun, Jilin 130033, China;
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    DOI: 10.3788/LOP202158.1401003 Cite this Article Set citation alerts
    Shiwei Wang, Guixiang Zhang, Wei Xu, Yongjie Wu, Shuping Tao. Adaptive Moving Window-Based Non-Uniformity Correction of CMOS Image[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1401003 Copy Citation Text show less
    Structure of the CMOS image sensor
    Fig. 1. Structure of the CMOS image sensor
    Image collected by the sensor under uniform illumination
    Fig. 2. Image collected by the sensor under uniform illumination
    Gray curve of the image. (a) Gray mean value curve of the column; (b) gray curve of the pixels in the column
    Fig. 3. Gray curve of the image. (a) Gray mean value curve of the column; (b) gray curve of the pixels in the column
    Response curve of the image block
    Fig. 4. Response curve of the image block
    Flow chart of our method
    Fig. 5. Flow chart of our method
    Principle of the image acquisition system
    Fig. 6. Principle of the image acquisition system
    Image corrected by our method. (a) Original image; (b) corrected image
    Fig. 7. Image corrected by our method. (a) Original image; (b) corrected image
    Statistic result of the column gray variance. (a) Before correction; (b) after correction
    Fig. 8. Statistic result of the column gray variance. (a) Before correction; (b) after correction
    Correction results of different window widths. (a) Original image; (b) W=2; (c) W=4; (d) W=8; (e) W=16; (f) W=32
    Fig. 9. Correction results of different window widths. (a) Original image; (b) W=2; (c) W=4; (d) W=8; (e) W=16; (f) W=32
    Correction results of the Fig. 9(a) by different methods. (a) TPC method; (b) LSFOFC method; (c) our method
    Fig. 10. Correction results of the Fig. 9(a) by different methods. (a) TPC method; (b) LSFOFC method; (c) our method
    PRNU of the image corrected by different methods
    Fig. 11. PRNU of the image corrected by different methods
    Window widthPRNU/%Gray meanBlock
    Original image2.702462none
    W=20.442462754
    W=40.442462607
    W=80.442462547
    W=160.442462521
    W=320.442462515
    W=640.442642514
    W=1280.442642514
    Table 1. Test indicators of different window widths
    MethodParameter acquisition time/sParametersPRNU/%
    TPC3.9812472×1024×10241.20
    LSFOFC17.8465822×10240.59
    Ours16.9690413×5210.44
    Table 2. Performance parameters of different calibration methods
    Shiwei Wang, Guixiang Zhang, Wei Xu, Yongjie Wu, Shuping Tao. Adaptive Moving Window-Based Non-Uniformity Correction of CMOS Image[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1401003
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