Laser & Optoelectronics Progress, Volume. 62, Issue 7, 0704005(2025)

Blind Pixel Detection Method for Infrared Detector Based on Surface Difference Value and Noise

Rongxing Li1, Jie Guo1、*, Fangyu Xu2、**, and Xiaochong Shi1
Author Affiliations
  • 1Yunnan Key Laboratory of Opto-Electronic Information Technology, Yunnan Normal University, Kunming 650500, Yunnan , China
  • 2Yunnan Observatories, Chinese Academy of Sciences, Kunming 650216, Yunnan , China
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    Currently, the detection of blind pixel in infrared detectors is typically conducted using the national standard method, Measuring Methods for Parameters of Infrared Focal Plane Arrays (GB/T 17444—2013). However, this method may result in inaccuracies in identifying blind pixels. To enhance the accuracy of blind pixels detection in infrared detectors, a blind pixel detection method based on the surface difference value and noise is proposed based on the national standard method. First, the causes of misjudgment associated with the national standard method are examined. Next, two surfaces are approximately fitted using effective pixel data, and the difference between these surfaces is used to establish specific dead pixel judgment criteria for individual pixels, enabling precise selection of dead pixels. Furthermore, by analyzing noise within infrared images, overheated pixels are also detected. The combined results of detected dead and overheated pixels provide the total number of blind pixels. Finally, comparative experiments involving various blind pixel detection methods demonstrate that the proposed method achieves a higher detection accuracy than the national standard method.

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    Rongxing Li, Jie Guo, Fangyu Xu, Xiaochong Shi. Blind Pixel Detection Method for Infrared Detector Based on Surface Difference Value and Noise[J]. Laser & Optoelectronics Progress, 2025, 62(7): 0704005

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    Paper Information

    Category: Detectors

    Received: Oct. 28, 2024

    Accepted: Dec. 25, 2024

    Published Online: Mar. 14, 2025

    The Author Email: Jie Guo (jieggg1020@sina.com), Fangyu Xu (xu_fangyu@ynao.ac.cn)

    DOI:10.3788/LOP242168

    CSTR:32186.14.LOP242168

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