Combined nonuniformity correction algorithm of infrared focal plane arrays based on substrate temperature

Tang Yanqiu; Sun Qiang; Zhao Jian; Yao Kainan

doi:10.3788/IRLA201645.0304002

The advantages and disadvantages in nonuniformity correction(NUC) algorithms based on calibration and scene of infrared focal plane arrays(IRFPA) were analysed separately. The combined NUC algorithm was presented. The thermal imaging system extracted the gain and offset factor from the FLASH which storged beforehand according to the substrate temperature of the IRFPA at the moment of power on. These factor was adopted to remove the nonuniformity of the detector simply. Based on the analysis of the characteristic of residual noise after initial correction, the P-M filter was used to replace the linear spatial average filter in the Neural Network nonuniformity correction algorithm(NN-NUC),which could preserve the image edge. Experimental results show that the proposed algorithm can accelerate the rate of convergence, reduces the correction error largely, and avoids the image degradation caused by the response drift of IRFPA.

Combined nonuniformity correction algorithm of infrared focal plane arrays based on substrate temperature

1. Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China;

2. University of Chinese Academy of Sciences,Beijing 100049,China

Received Date: 2015-07-05

Rev Recd Date: 2015-08-03

Publish Date: 2016-03-25

Key words:

Abstract: The advantages and disadvantages in nonuniformity correction(NUC) algorithms based on calibration and scene of infrared focal plane arrays(IRFPA) were analysed separately. The combined NUC algorithm was presented. The thermal imaging system extracted the gain and offset factor from the FLASH which storged beforehand according to the substrate temperature of the IRFPA at the moment of power on. These factor was adopted to remove the nonuniformity of the detector simply. Based on the analysis of the characteristic of residual noise after initial correction, the P-M filter was used to replace the linear spatial average filter in the Neural Network nonuniformity correction algorithm(NN-NUC),which could preserve the image edge. Experimental results show that the proposed algorithm can accelerate the rate of convergence, reduces the correction error largely, and avoids the image degradation caused by the response drift of IRFPA.

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Reference (9)

[1]	Wang Yueming, Chen Jianxin, Liu Yinnian, et al. Study on two-point multi-section IRFPA nonumiformity correction algorithm[J]. J Infrared Millin Waves, 2003, 22(6):415-418. (in Chinese)王跃明, 陈建新, 刘银年, 等. 红外焦平面器件二点多段非均匀性校正算法研究[J]. 红外与毫米波学报, 2003, 22(6):415-418.
[2]	Scribner D A, Kruer M R, Cridley J C, et al. Physical limitation to nonuniformity correction in IR focal plane arrays[C]//SPIE, 1987, 865:185-202.
[3]	Lou Bo, Zhang Feng, Song Liquan, et al. Improved neural network nonuniformity correction technique for IRFPA[J]. Infrared and Laser Engineering, 2008, 37(2):300-303. (in Chinese)楼波, 张锋, 宋利权, 等. 改进的神经网络非均匀性校正方法[J]. 红外与激光工程, 2008, 37(2):300-303.
[4]	Li Qing, Liu Shangqian, Wang Bingjian, et al. New nonuniformity correction algorithm for IRFPA based on neural network[J]. Infrared and Laser Engineering, 2007, 36(3):342-344. (in Chinese)李庆, 刘上乾, 王炳健, 等. 基于神经网络的IRFPA非均匀性校正新算法[J]. 红外与激光工程, 2007, 36(3):342-344.
[5]	Qu Huiming, Chen Qian. Surrounding temperature compensation for infrared focal plane arrays non-uniformity correction[J]. Infrared and Laser Engineering, 2011, 40(12):2328-2332. (in Chinese)屈惠明, 陈钱. 环境温度补偿的红外焦平面阵列非均匀性校[J]. 红外与激光工程, 2011, 40(12):2328-2332.
[6]	Shi Changcheng, Zhang Tianxu, Liu Huina, et al. Combinational algorithm for nonuniform ity correction of infrared focal plane array[J]. J Infrared Millin Waves, 2010, 29(1):23-26. (in Chinese)施长城, 张天序, 刘慧娜, 等. 一种红外焦平面非均匀性组合校正算法[J]. 红外与毫米波学报, 2010, 29(1):23-26.
[7]	Yang Li, Yang Zhen. The Principle and Technology of Infrared Thermal Imaging Temperature Measurement[M]. Beijing:Science Press, 2012:68-71. (in Chinese)杨立, 杨桢. 红外热成像测温原理与技术[M]. 北京:科学出版社, 2012:68-71.
[8]	Zhang Tianxu, Shi Yan, Cao Zhiguo. Study on the property of spatial frequency of nonuniformity noise in IRFPA and the mprovement of spatial adaptive nonumiformity correction technique[J]. J Infrared Millin Waves, 2005, 24(4):255-260. (in Chinese)张天序, 石岩, 曹治国. 红外焦平面非均匀性噪声的空间频率特性及空间自适应非均匀性校正方法改进[J]. 红外与毫米波学报, 2005, 24(4):255-260.
[9]	Perona P, Malik J. Scale-space and edge detection using anisotropic diffusion[J]. IEEE Transactions on Pattern Analysis and Machine, 1990, 12(7):629-639.

Combined nonuniformity correction algorithm of infrared focal plane arrays based on substrate temperature

doi: 10.3788/IRLA201645.0304002

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