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): 869-875.
Citation: 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): 869-875.

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

More Information
  • Received Date: May 11, 2021
  • Revised Date: August 06, 2021
  • The existence of blind pixels significantly affects the imaging quality of infrared cameras. Scene-based methods for blind pixel detection and compensation can effectively solve such problems. This study proposes an improved local "3σ" method. The average noise of the infrared image is obtained by calculating the three-dimensional noise of the image; according to this average noise, the minimum criterion for blind pixel detection is obtained. Subsequently, real-time dynamic detection and compensation for blind pixel is performed by local "3σ" and median filtering method; furthermore, the method was applied to a self-developed mid-wave infrared camera. The results of the blackbody imaging experiment show that, compared with the radiation calibration method, the coincidence degree of blind pixel detection of our method can exceed 82% on average. The proposed method has the same effect of detection and compensation for blind pixel compared with the traditional local "3σ" method; however, it can reduce the over-detection rate of blind pixel by more than 30%.The results of imaging experiments of ground scene show that the proposed method can effectively restrain the blind pixel, and no apparent abnormal black and white spots were found in both daytime and nighttime images captured by the infrared camera. Additionally, the scene details in the images are rich, and the image quality is excellent. Therefore, the method presented in this study has good performance in real-time dynamic blind pixel detection and compensation. It is feasible and effective for use in self-developed mid-wave infrared cameras.
  • [1]
    沈宏海, 黄猛, 李嘉全, 等. 国外先进航空光电载荷的进展与关键技术分析[J]. 中国光学, 2012, 5(1): 20-29. DOI: 10.3969/j.issn.2095-1531.2012.01.003

    SHEN Honghai, HUANG Meng, LI Jiaquan, et al. Recent progress in aerial electro - optic payloads and their key technologies[J]. Chinese Optics, 2012, 5(1): 20-29. DOI: 10.3969/j.issn.2095-1531.2012.01.003
    [2]
    王岳, 李双喜, 王磊. 红外航空相机技术研究[J]. 激光与红外, 2017, 47(12): 1468-1472. DOI: 10.3969/j.issn.1001-5078.2017.12.003

    WANG Yue, LI Shuangxi, WANG Lei. Study on infrared aerial camera technology[J]. Laser & Infrared, 2017, 47(12): 1468-1472. DOI: 10.3969/j.issn.1001-5078.2017.12.003
    [3]
    李凌霄, 冯华君, 赵巨峰, 等. 红外焦平面阵列的盲元自适应快速校正[J]. 光学精密工程, 2017, 25(4): 477-486. https://www.cnki.com.cn/Article/CJFDTOTAL-GXJM201704024.htm

    LI Lingxiao, FENG Huajun, ZHAO Jufeng, et al. Adaptive and fast blind pixel correction of IRFPA[J]. Optics and Precision Engineering, 2017, 25(4): 477-486. https://www.cnki.com.cn/Article/CJFDTOTAL-GXJM201704024.htm
    [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.
    [5]
    刘高睿, 孙胜利, 林长青, 等. 红外线列探测器闪元噪声分析与抑制方法[J]. 红外与毫米波学报, 2018, 37(4): 421-426. https://www.cnki.com.cn/Article/CJFDTOTAL-HWYH201804008.htm

    LIU Gaorui, SUN Shengli, LIN Changqing, et al. Analysis and suppression method of flickering pixel noise in images of infrared linear detector[J]. J. Infrared Millim. Waves, 2018, 37(4): 421-426. https://www.cnki.com.cn/Article/CJFDTOTAL-HWYH201804008.htm
    [6]
    张长兴, 刘成玉, 丌洪兴, 等. 热红外高光谱成像仪光谱匹配盲元检测算法[J]. 红外与激光工程, 2020, 49(1): 0104002-1-0104002-7. https://www.cnki.com.cn/Article/CJFDTOTAL-HWYJ202001014.htm

    ZHANG Changxing, LIU Chengyu, QI Hongxing, et al. Blind pixel detection algorithm using spectral matching for thermal infared hyperspectral imager[J]. Infrared and Laser Engineering, 2020, 49(1): 0104002-1-0104002-7. https://www.cnki.com.cn/Article/CJFDTOTAL-HWYJ202001014.htm
    [7]
    周慧鑫, 魏亚姣, 秦翰林, 等. 采用双阈值的非制冷IRFPA盲元迭代检测算法[J]. 红外与激光工程, 2011, 40(5): 795-799. DOI: 10.3969/j.issn.1007-2276.2011.05.004

    ZHOU Huixin, WEI Yajiao, QIN Hanlin, et al. Blind-pixel iterative detection algorithm based on double threshold for uncooled IRFPA[J]. Infrared and Laser Engineering, 2011, 40(5): 795-799. DOI: 10.3969/j.issn.1007-2276.2011.05.004
    [8]
    冷寒冰, 宫振东, 谢庆胜, 等. 基于模糊中值的IRFPA自适应盲元检测与补偿[J]. 红外与激光工程, 2015, 44(3): 821-826. DOI: 10.3969/j.issn.1007-2276.2015.03.006

    LENG Hanbing, GONG Zhendong, XIE Qingsheng, et al. Adaptive blind pixel detection and compensation for IRFPA based on fuzzy median filter[J]. Infrared and Laser Engineering, 2015, 44(3): 821-826. DOI: 10.3969/j.issn.1007-2276.2015.03.006
    [9]
    顾国华. 基于滑动窗口与多帧补偿的自适应盲元检测与补偿算法[J]. 红外技术, 2010, 32(7): 420-423. DOI: 10.3969/j.issn.1001-8891.2010.07.013

    GU Guohua. A Blind Pixel Self-adaptive Detection And Compensation Algorithm Based on Sliding Window and Multi-frame Compensation[J]. Infrared Technology, 2010, 32(7): 420-423. DOI: 10.3969/j.issn.1001-8891.2010.07.013
    [10]
    郑骁, 葛志雄, 赖永安. 基于滑动窗口的红外焦平面阵列盲元检测算法研究[J]. 红外技术, 2019, 41(8): 735-741. http://hwjs.nvir.cn/article/id/hwjs201908008

    ZHENG Xiao, GE Zhixiong, LAI Yong'an. Algorithm for Blind-pixel Detection of IRFPA Based on Sliding Window[J]. Infrared Technology, 2019, 41(8): 735-741. http://hwjs.nvir.cn/article/id/hwjs201908008
    [11]
    詹维, 马新星, 徐子剑. 基于超像素分割的红外盲元检测及校正[J]. 红外技术, 2018, 40(11): 1085-1090. http://hwjs.nvir.cn/article/id/hwjs201811012

    ZHAN Wei, MA Xinxing, XU Zijian. IR Blind Pixels Detection and Correction Based on Superpixel Segmentation[J]. Infrared Technology, 2018, 40(11): 1085-1090. http://hwjs.nvir.cn/article/id/hwjs201811012
    [12]
    张北伟, 曹江涛, 丛秋梅. 基于曲面拟合的红外图像盲元检测方法[J]. 红外技术, 2017, 39(11): 1007-1011. http://hwjs.nvir.cn/article/id/hwjs201711007

    ZHANG Beiwei, CAO Jiangtao, CONG Qiumei. Detection Method for Infrared-image Blind Pixels Based on Curved-surface Fitting[J]. Infrared Technology, 2017, 39(11): 1007-1011. http://hwjs.nvir.cn/article/id/hwjs201711007
    [13]
    粟宇路, 苏兰, 陈大乾, 等. 基于分布搜索策略的自适应盲元检测算法[J]. 红外技术, 2016, 38(6): 457-460. http://hwjs.nvir.cn/article/id/hwjs201606002

    SU Yulu, SU Lan, CHEN Daqian, et al. Adaptive Blind Pixel Detection Algorithms Based on Stepwise Search Strategy[J]. Infrared Technology, 2016, 38(6): 457-460. http://hwjs.nvir.cn/article/id/hwjs201606002
    [14]
    国家技术监督局. GB/T 17444-2013. 红外焦平面阵列参数测试方法[S]. 北京: 中国标准出版社, 2014.

    The State Bureau of Quality and Technical Supervision. GB/T 17444-2013. Measuring methods for parameters of infrared focal plane arrays[S]. Beijing: Standards Press of China, 2014.
    [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]
    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.
  • Related Articles

    [1]ZHAO Yiqun, WU Zhenfen, YANG Xiaojie, DENG Dazheng, LIU Xue’e, ZHOU Huiqun. Research Progress on Stability of PbS Colloidal Quantum Dots[J]. Infrared Technology , 2022, 44(3): 205-211.
    [2]GUO Xiangxiang, HAN Penglei. Effect of Orifice Size on Flow Stability of Shape Memory Alloy Self-Regulated Cryocoolers[J]. Infrared Technology , 2021, 43(6): 607-613.
    [3]ZHAO Heng, CHANG Le, LI Tingtao, WU Yongxiang, ZHAO Xuefeng, LI Xiaofeng. Study on Cs-O Activation Technology of Multi-alkali Photocathode[J]. Infrared Technology , 2018, 40(7): 695-700.
    [4]NIU Sen, GAO Xiang, LIU Lu, YUAN Yuan, GUO Xin, CHEN Chang, YANG Shuning. Influence of Cs, O Activation on Spectral Response Characteristics of GaAsP Photocathode[J]. Infrared Technology , 2018, 40(2): 189-192.
    [5]ZHANG Weigang, XU Guoyue, XUE Lianhai. Preparation and Near-infrared Absorption Properties of Polyurethane/Sm2O3 Composite Coatings[J]. Infrared Technology , 2016, 38(2): 102-106.
    [6]LI Xiao-feng, JIANG Yun-long, LI Jing-wen, JI Ming, LI Jin-sha, ZHANG Qin-dong. Study on Spectral Response beyond Cut off of Cs2Te Ultra Violet Photo Cathode[J]. Infrared Technology , 2015, (12): 1068-1073.
    [7]LI Xiao-feng, ZHAO Xue-feng, ZHANG Kun-lin, LI Quan-bao, WANG Zhi-hong. Study on Rb2Te(Cs) Solar Blind Ultraviolet Cathode[J]. Infrared Technology , 2013, (9): 581-586.
    [8]Study on Variation of Work Function and Electron Transition of Multi Alkali Cathode during Cs Activation and Cs-Sb Activation[J]. Infrared Technology , 2013, (4): 202-206.
    [9]GUO Xiang-yang, CHANG Ben-kang, QIAO Jian-liang, WANG Xiao-hui. Comparison of Stability of GaN and GaAs Photocathode[J]. Infrared Technology , 2010, 32(2): 117-120. DOI: 10.3969/j.issn.1001-8891.2010.02.014
    [10]Calculation of Electron Surface Escape Probability of GaAs∶Cs-O NEA Photocathodes[J]. Infrared Technology , 2002, 24(3): 27-30. DOI: 10.3969/j.issn.1001-8891.2002.03.007
  • Cited by

    Periodical cited type(3)

    1. 吕行,富容国,常本康,郭欣,王芝. 透射式GaAs光电阴极性能提高以及结构优化. 物理学报. 2024(03): 250-256 .
    2. 廖宇翔,王子辰,唐林,冯俞铭,赵小艳,刘頔威,张开春. 基于Geant4-CST联合仿真的条纹变像管光电子产生与控制. 光学学报. 2024(03): 308-315 .
    3. 严仕凯,司曙光,王兴超,任玲,金睦淳,江涛,王亮,吴凯,金真,黄国瑞,涂蕴超. 阴极制备工艺对高温光电倍增管性能的影响. 光学学报. 2023(23): 28-35 .

    Other cited types(4)

Catalog

    Article views PDF downloads Cited by(7)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return