• Acta Photonica Sinica
  • Vol. 51, Issue 9, 0910004 (2022)
Xuedong SONG1、2, Yingchao MA1、2, Qi ZHOU1、2, Da LIAN1、2, Luwei YU1、2, and Xiaonan MAO1、2、*
Author Affiliations
  • 1Shanghai Aerospace Control Technology Institute,Shanghai 201109,China
  • 2Shanghai Key Laboratory of Space Intelligent Control Technology,Shanghai 201109,China
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    DOI: 10.3788/gzxb20225109.0910004 Cite this Article
    Xuedong SONG, Yingchao MA, Qi ZHOU, Da LIAN, Luwei YU, Xiaonan MAO. Real-time Bad Pixel Detection and Compensation Method for Short-wave Infrared Camera[J]. Acta Photonica Sinica, 2022, 51(9): 0910004 Copy Citation Text show less
    Bad pixel 3D image
    Fig. 1. Bad pixel 3D image
    Gray value curves of bad pixel and neighboring normal pixels
    Fig. 2. Gray value curves of bad pixel and neighboring normal pixels
    Gray gradient value curves of bad pixel and neighboring normal pixels
    Fig. 3. Gray gradient value curves of bad pixel and neighboring normal pixels
    The infrared image of star target
    Fig. 4. The infrared image of star target
    3D image of bad pixel in infrared image
    Fig. 5. 3D image of bad pixel in infrared image
    The detection window of bad pixels
    Fig. 6. The detection window of bad pixels
    The compensation window of bad pixels
    Fig. 7. The compensation window of bad pixels
    Background 1
    Fig. 8. Background 1
    Background 2
    Fig. 9. Background 2
    The detection results based on gray value of different background
    Fig. 10. The detection results based on gray value of different background
    The detection results based on gray gradient value of different background
    Fig. 11. The detection results based on gray gradient value of different background
    The light bad pixels in both background and star target
    Fig. 12. The light bad pixels in both background and star target
    The detection results of bad pixels
    Fig. 13. The detection results of bad pixels
    The neighboring bad pxiels
    Fig. 14. The neighboring bad pxiels
    The detection results of bad pixels
    Fig. 15. The detection results of bad pixels
    The compensation results of bad pixels
    Fig. 16. The compensation results of bad pixels
    The multiple bad pixels in star image
    Fig. 17. The multiple bad pixels in star image
    The detection results of bad pixels
    Fig. 18. The detection results of bad pixels
    The compensation results of bad pixels
    Fig. 19. The compensation results of bad pixels
    Type of bad pixelCentroid coordinatesX coordinate errorY coordinate error
    None(15.065 6,14.878 6)//
    Light bad pixel in background(15.065 7,14.878 3)0.001%0.002%
    Dark bad pixel in background(15.065 5,14.878 7)0.001%0.001%
    Light bad pixel in star(14.845 8,15.109 8)1.459%1.554%
    Dark bad pixel in star(15.092 5,14.850 4)0.179%0.190%
    Table 1. The influence of bad pixels on centroid coordinate extraction of star target
    MethodNumber of bad pixelsNumber of detected bad pixelsAccuracy
    The compared method5240%
    Our method55100%
    Table 2. The detection accuracy of bad pixels
    MethodCentroid coordinatesX coordinate errorY coordinate error
    None bad pixel(15.0656,14.8786)//
    Baseline(14.8451,15.1103)1.464%1.557%
    The compared method(15.0013,14.9460)0.427%0.453%
    Our method(15.0409,14.9046)0.164%0.175%
    Table 3. The result of extracting star's centroid coordinates
    Xuedong SONG, Yingchao MA, Qi ZHOU, Da LIAN, Luwei YU, Xiaonan MAO. Real-time Bad Pixel Detection and Compensation Method for Short-wave Infrared Camera[J]. Acta Photonica Sinica, 2022, 51(9): 0910004
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