Advanced Search
中文
Volume 45 Issue 5
May  2023
Turn off MathJax
Article Contents
Abstract
References
GUO Yuting, JIA Xiaohong, LI Lijuan, LIU Junming. Space-Time Domain Adaptive Filtering Non-uniformity Correction Algorithm[J]. Infrared Technology , 2023, 45(5): 482-487.
Citation: GUO Yuting, JIA Xiaohong, LI Lijuan, LIU Junming. Space-Time Domain Adaptive Filtering Non-uniformity Correction Algorithm[J]. Infrared Technology , 2023, 45(5): 482-487.
shu

Space-Time Domain Adaptive Filtering Non-uniformity Correction Algorithm

  • 1.

    China Air-to-Air Missile Research Institute, Luoyang 471009, China

  • 2.

    Aviation Key Laboratory of Science and Technology on Airborne Guide Weapons, Luoyang 471009, China

More Information
  • Received Date: April 18, 2022
  • Revised Date: June 01, 2022
    Graphical Abstract
    • Abstract
  • Because the infrared focal plane detector is limited by manufacturing technology, the image is inevitably nonuniform. The traditional neural network algorithm solves the "ghost" problem using the guided filtering image as the expected template to prevent image edge smoothing by the filter. When the scene is moving, the nonuniformity correction parameters are continuously updated using the time-domain iteration strategy. To suppress the common ghosting phenomenon in the algorithm, an adaptive learning rate was designed based on a combination of the spatial local variance and the time-domain scene change rate, and the threshold was adjusted adaptively using the correction parameters before and after. Simulation results show that the root mean square error of the proposed algorithm is reduced by 45.45% compared with that of the traditional algorithm, and the proposed algorithm can suppress the "ghost" phenomenon well while correcting image nonuniformity.
    • FullText(HTML)
    • References (17)
  • [1]
    马晓平, 赵良玉. 红外导引头关键技术国内外研究现状综述[J]. 航空兵器, 2018(3): 3-10. https://www.cnki.com.cn/Article/CJFDTOTAL-HKBQ201803001.htm

    MA Xiaoping, ZHAO Liangyu. An overview of infrared seeker key technologies at home and abroad[J]. Aero Weaponry, 2018(3): 3-10. https://www.cnki.com.cn/Article/CJFDTOTAL-HKBQ201803001.htm
    [2]
    周永康, 朱尤攀, 赵德利, 等. 基于场景的红外焦平面非均匀校正算法综述[J]. 红外技术, 2018, 40(10): 952-960. https://www.cnki.com.cn/Article/CJFDTOTAL-HWJS201810005.htm

    ZHOU Yongkang, ZHU Youpan, ZHAO Deli, et al. Overview of scene-based non-uniform correction algorithms for infrared focal plane[J]. Infrared Technology, 2018, 40(10): 952-960. https://www.cnki.com.cn/Article/CJFDTOTAL-HWJS201810005.htm
    [3]
    李旭, 杨虎. 基于两点的红外图像非均匀性校正算法应用[J]. 红外与激光工程, 2008, 37: 608-610. https://www.cnki.com.cn/Article/CJFDTOTAL-HWYJ2008S2064.htm

    LI Xu, YANG Hu. Application of a non-uniformity correction algorithm for IRFPAs based on two points[J]. Infrared and Laser Engineering, 2008, 37: 608-610. https://www.cnki.com.cn/Article/CJFDTOTAL-HWYJ2008S2064.htm
    [4]
    关同辉, 张同贺. 一种新型实时两点非均匀性校正方法[J]. 航空兵器, 2021, 28(4): 112-117. https://www.cnki.com.cn/Article/CJFDTOTAL-HKBQ202104018.htm

    GUAN Tonghui, ZHANG Tonghe. A new real-time two-point non-uniformity correction method[J]. Aero Weaponry, 2021, 28(4): 112-117. https://www.cnki.com.cn/Article/CJFDTOTAL-HKBQ202104018.htm
    [5]
    陈芳林. 基于场景的红外焦平面非均匀性校正算法及FPGA实现[D]. 南京: 南京理工大学, 2017.

    CHEN Fanglin. Scene-based Infrared Focal Plane Non-Uniformity Correction Algorithm and FPGA Implementation[D]. Nanjing: Nanjing University of Science and Technology, 2017.
    [6]
    钱润达, 赵东, 周慧鑫, 等. 基于加权引导滤波与时域高通滤波的非均匀性校正算法[J]. 红外与激光工程, 2018, 47(12): 1204001-1-1204001-6. https://www.cnki.com.cn/Article/CJFDTOTAL-HWYJ201812022.htm

    QIAN Runda, ZHAO Dong, ZHOU Huixin, et al. Non-uniformity correction algorithm based on weighted guided filter and temporal high-pass filter[J]. Infrared and Laser Engineering, 2018, 47(12): 1204001 -1-1204001-6. https://www.cnki.com.cn/Article/CJFDTOTAL-HWYJ201812022.htm
    [7]
    徐泽林, 路东明, 王利平, 等. 利用灰度差估计的条纹非均匀性校正方法[J]. 光学学报, 2021, 41(5): 511001-1-511001-6. https://www.cnki.com.cn/Article/CJFDTOTAL-GXXB202105004.htm

    XU Zelin, LU Dongming, WANG Liping, et al. Fringe non-uniformity correction method based on gray different estimation[J]. Acta Optica Sinic, 2021, 41(5): 511001-1-511001-6. https://www.cnki.com.cn/Article/CJFDTOTAL-GXXB202105004.htm
    [8]
    CHAO Zuo, QIAN Chen, GU Guohua, et al. Improved interframe registration based nonuniformity correction for focal plane arrays[J]. Infrared Physics & Technology, 2012, 55(4): 263-269. . http://www.onacademic.com/detail/journal_1000035395320710_83c7.html
    [9]
    ZUO C, ZHANG Y, CHEN Q, et al. A two-frame approach for scene-based nonuniformity correction in array sensors[J]. Infrared Physics & Technology, 2013, 60(1): 190-196. http://www.zuochao.org/uploads/1/1/0/7/11076000/2013_irt_tfnuc.pdf
    [10]
    李谦, 杨波, 粟宇路, 等. 基于神经网络的红外焦平面光学非均匀性校正改进算法[J]. 红外技术, 2019, 41(3): 251-255. http://hwjs.nvir.cn/article/id/hwjs201903009

    LI Qian, YAN Bo, SU Yulu, et al. An improved algorithm for irfpa optical nonuniformity correction based on neural networks[J]. Infrared Technology, 2019, 41(3): 251-255. http://hwjs.nvir.cn/article/id/hwjs201903009
    [11]
    RONG Shenghui, ZHOU Huixin, QIN Hanlin, et al. Guided filter and adaptive learning rate based non-uniformity correction algorithm for infrared focal plane array[J]. Infrared Physics & Technology, 2016, 76: 691-697. http://www.sciencedirect.com/science?_ob=ShoppingCartURL&_method=add&_eid=1-s2.0-S1350449515300529&originContentFamily=serial&_origin=article&_ts=1480172376&md5=3e335208352d8436eca4420b9fdcff9b
    [12]
    刘会通, 马红伟. 自适应非均匀性校正中"鬼影"问题的分析[J]. 红外技术, 2003, 23(5): 30-36. DOI: 10.3969/j.issn.1001-8891.2003.05.008

    LIU Huitong, MA Hongwei. An analysis of the ghosting artifact in adaptive nonuniformity correction[J]. Infrared Technology, 2003, 23(5): 30-36. DOI: 10.3969/j.issn.1001-8891.2003.05.008
    [13]
    陈芳林, 张宝辉, 汪贵华, 等. 改进的神经网络非均匀性校正算法研究[J]. 科学技术与工程, 2016, 33(16): 215-220. https://www.cnki.com.cn/Article/CJFDTOTAL-KXJS201633039.htm

    CHEN Fanglin, ZHANG Baohui, WANG Guihua, et al. Research on improved neural network non-uniformity correction algorithm[J]. Science Technology and Engineering, 2016, 33(16): 215-220. https://www.cnki.com.cn/Article/CJFDTOTAL-KXJS201633039.htm
    [14]
    Scribner D A, Caulfield J T. Nonuniformity correction for staring IR focal plane arrays using scene - based techniques[C]//Proceedings of SPIE the International Society for Optical Engineering, 1990, 12: 21730.
    [15]
    张红辉, 罗海波, 余新荣, 等. 改进的神经网络红外图像非均匀性校正方法[J]. 红外技术, 2013, 35(4): 232-237. http://hwjs.nvir.cn/article/id/hwjs201304011

    ZHANG Honghui, LUO Haibo, YU Xinrong, et al. Improved algorithm of neural network used in IR image non-uniformity correction[J]. Infrared Technology, 2013, 35(4): 232-237. http://hwjs.nvir.cn/article/id/hwjs201304011
    [16]
    张菲菲, 王文龙, 马国锐, 等. 基于非局部均值滤波与神经网络的红外焦平面阵列非均匀性校正算法[J]. 红外技术, 2015, 37(4): 265-271. http://hwjs.nvir.cn/article/id/hwjs201504001

    ZHANG Feifei, WANG Wenlong, MA Guorui, et al. Neural network nonuniformity correction algorithm for infrared focal plane array based on non-local means filter[J]. Infrared Technology, 2015, 37(4): 265-271. http://hwjs.nvir.cn/article/id/hwjs201504001
    [17]
    陆余洋君. 基于神经网络的红外焦平面非均匀性校正算法研究与FPGA实现[D]. 合肥: 中国科学技术大学, 2021.

    LU Yuyangjun. Research on Algorithms Nonuniformity Correction on Infrared Focal Plane Array Based on Neural Net Works and FPGA Implement[D]. Hefei: University of Science and Technology of China, 2021.
    • Related Articles

  • Cited by

    Periodical cited type(1)

    1. 肖沁，李正周，刘海毅. 基于场景自适应方向引导滤波的红外成像非均匀性校正方法. 光子学报. 2024(11): 253-265 .

    Other cited types(2)

Catalog

    Get Citation
    PDF
    XML
    Article views (183) PDF downloads (63) Cited by(3)
    Related

    Copyright © 《Infrared Technology》Editorial Office滇ICP备12000354号-3

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return