Infrared Technology, Volume. 43, Issue 9, 869(2021)

Real-time Dynamic Blind Pixel Detection and Compensation Method for Mid-wave Infrared Camera

Chao SUN1,2, Hongwen ZHANG1,2, Pei WANG3, and Jun LI1,2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(3)

    [4] [4] GHOSH S, MARSHALL I, FREITAS A. Autonomously detecting the defective pixels in an imaging sensor array using a robust statistical technique[C]//Proc. SPIE, Image Quality and System Performance V, San Jose, CA, 2008, 6808: 680813-1-680813-12.

    [15] [15] John D Agostino, Curtis Webb. Three-dimensional analysis framework and measurement methodology for imaging system noise[C]//Proc. SPIE, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing II, 1991, 1488: 110-121.

    [16] [16] Patrick O’Shea, Stephen Sousk. Practical Issues with 3D-Noise Measurements and Application to Modern Infrared Sensors[C]//Proc. SPIE, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI, 2005, 5784: 262-271.

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    SUN Chao, ZHANG Hongwen, WANG Pei, LI Jun. Real-time Dynamic Blind Pixel Detection and Compensation Method for Mid-wave Infrared Camera[J]. Infrared Technology, 2021, 43(9): 869

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    Paper Information

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    Received: May. 12, 2021

    Accepted: --

    Published Online: Nov. 6, 2021

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