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基于黑体标定的红外图像非均匀性校正系统设计

梁超 马天翔

梁超, 马天翔. 基于黑体标定的红外图像非均匀性校正系统设计[J]. 中国光学(中英文), 2016, 9(3): 385-393. doi: 10.3788/CO.20160903.0385
引用本文: 梁超, 马天翔. 基于黑体标定的红外图像非均匀性校正系统设计[J]. 中国光学(中英文), 2016, 9(3): 385-393. doi: 10.3788/CO.20160903.0385
LIANG Chao, MA Tian-xiang. Design of infrared imaging nonuniformity correction system based on black body calibration[J]. Chinese Optics, 2016, 9(3): 385-393. doi: 10.3788/CO.20160903.0385
Citation: LIANG Chao, MA Tian-xiang. Design of infrared imaging nonuniformity correction system based on black body calibration[J]. Chinese Optics, 2016, 9(3): 385-393. doi: 10.3788/CO.20160903.0385

基于黑体标定的红外图像非均匀性校正系统设计

doi: 10.3788/CO.20160903.0385
基金项目: 

中国科学院国防科技创新基金项目 CXJJ-16-S038

详细信息
    通讯作者:

    梁超(1988-),男,黑龙江七台河人,硕士,研究实习员,2011年、2014年于哈尔滨工程大学分别获得学士、硕士学位,主要从事航空遥感成像系统方面的研究。E-mail:liangchao_job@126.com

  • 中图分类号: TN215;TN911.73

Design of infrared imaging nonuniformity correction system based on black body calibration

Funds: 

Supported by National Defense Science and Technology innovation Fund, Chinese Academy of Sciences CXJJ-16-S038

  • 摘要: 为提高某中波红外探测器的图像质量,设计了基于FPGA的红外图像实时处理系统, 系统能够完成实时的非均匀性校正与盲元补偿处理。介绍了目前常用的非均匀性校正、盲元识别和补偿算法,并结合实际工程需求采用多点法进行非均匀性校正以及8点平均法进行盲元补偿。在仿真实验成功的基础上,基于FPGA平台构建了硬件平台。系统可以实现系数自定义更新,可以手动或自动完成非均匀性较正系数计算,以及实现盲元列表的自动更新操作。利用某国产中波红外探测器对处理系统进行了测试试验,实验结果表明:校正后图像非均匀性<0.3%,盲元率<0.001%。系统工作稳定、可靠,图像处理满足实时性和精度要求。

     

  • 图 1  图像处理系统原理图

    Figure 1.  Schematic of image processing system

    图 2  图像处理系统软件工作流程图

    Figure 2.  Software workflow chart of image processing system

    图 3  红外探测器像元响应曲线

    Figure 3.  Response curves of infrared detector image element

    图 4  增益校正和偏移校正

    Figure 4.  Gain correction and offset correction

    图 5  多点较正算法示意图

    Figure 5.  Sketch map of multi-point correction algorithm

    图 6  非均匀性校正的流水线工作

    Figure 6.  Assembly line work of nonuniformity correction

    图 7  非均匀性校正时序仿真结果

    Figure 7.  Simulation result of nonuniformity correction timing sequence

    图 8  盲元补偿示意图

    Figure 8.  Sketch map of blind pixel compensation

    图 9  盲元补偿缓冲区设置示意图

    Figure 9.  Sketch map of blind pixel compensation buffer setting

    图 10  系数更新模块软件工作流程图

    Figure 10.  Software workflow chart of coefficient update module

    图 11  测试图像

    Figure 11.  Test image

    图 12  黑体温度40 ℃非均匀性校正前后成像对比图

    Figure 12.  Comparison of black body image in 40 ℃ before and after nonuniformity correction

    图 13  对实际景物成像非均匀性校正前后对比图

    Figure 13.  Comparison of actual scene image before and after nonuniformity correction

    表  1  两点法和多点法校正效果对比

    Table  1.   Comparison of two-point and multi-point correction algorithm

    非均匀性 20 ℃ 35 ℃ 50 ℃ 65 ℃
    两点法/% 0.273 0.326 0.349 0.285
    多点法/% 0.212 0.236 0.224 0.209
    下载: 导出CSV

    表  2  3种方法盲元补偿效果对比

    Table  2.   Comparison of blind pixel compensation by three algorithms

    一维平均 二维平均 8点全平均
    盲元率/% 0.004 0.001 0.001
    下载: 导出CSV
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出版历程
  • 收稿日期:  2016-01-19
  • 修回日期:  2016-02-25
  • 刊出日期:  2016-01-25

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