留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于像素级辐射自校准的红外图像非均匀性校正改进方法

王杰 洪闻青 葛朋 王晓东 潘超

王杰, 洪闻青, 葛朋, 王晓东, 潘超. 基于像素级辐射自校准的红外图像非均匀性校正改进方法[J]. 红外技术, 2021, 43(3): 246-250.
引用本文: 王杰, 洪闻青, 葛朋, 王晓东, 潘超. 基于像素级辐射自校准的红外图像非均匀性校正改进方法[J]. 红外技术, 2021, 43(3): 246-250.
WANG Jie, HONG Wenqing, GE Peng, WANG Xiaodong, PAN Chao. Improved Non-uniformity Correction Method by Pixel-wise Radiometric Self-calibration for Infrared Imaging[J]. Infrared Technology , 2021, 43(3): 246-250.
Citation: WANG Jie, HONG Wenqing, GE Peng, WANG Xiaodong, PAN Chao. Improved Non-uniformity Correction Method by Pixel-wise Radiometric Self-calibration for Infrared Imaging[J]. Infrared Technology , 2021, 43(3): 246-250.

基于像素级辐射自校准的红外图像非均匀性校正改进方法

详细信息
    作者简介:

    王杰(1992-),男,硕士研究生,工程师,主要从事红外图像处理方面的研究。E-mail:jaegerwang@outlook.com

    通讯作者:

    洪闻青(1986-),男,博士,高级工程师,主要从事红外成像系统方面的研究。E-mail:hongwenqing@aliyun.com

  • 中图分类号: TN219

Improved Non-uniformity Correction Method by Pixel-wise Radiometric Self-calibration for Infrared Imaging

  • 摘要: 红外成像系统中一直存在着非均匀性的问题,针对红外大动态范围成像等任务对改变成像系统积分时间的需要,提出了一种利用像素级辐射自校正技术的可变积分时间的非均匀性校正方法。通过辐射自校正为红外探测器中的每个像元建立辐射响应方程以估计出场景的辐射通量图,利用线性校正模型对辐射通量图进行校正,实现任意积分时间下的非均匀性校正。该方法的有效性通过高分辨率碲镉汞红外探测器进行了验证。
  • 图  1  恒定辐照度时某像素输出信号与积分时间的关系

    Figure  1.  The relationship between the output signal of a pixel and the integration time under constant irradiance

    图  2  三种方法校正后的场景图像

    Figure  2.  Corrected scene images of three methods

    表  1  3种方法处理前后的黑体图像的NU的统计数据

    Table  1.   NU statistics of the black body image before and after process of the three methods

    Method Mean NU Median NU Min NU Max NU
    Un-corrected 6.041% 6.489% 3.025% 8.583%
    Two-point 1.562% 1.081% 0.088% 6.024%
    Ochs 0.133% 0.128% 0.073% 0.281%
    Proposed 0.101% 0.098% 0.050% 0.205%
    下载: 导出CSV

    表  2  三种方法处理前后的场景图像的粗糙度ρ

    Table  2.   Roughness ρ of the scene images before and after theprocess of the three method

    Integration Time/ms Un-corrected Two-point Ochs Proposed
    4 0.11816 0.01032 0.00924 0.00904
    9 0.07297 0.00998 0.00900 0.00890
    12 0.06285 0.00989 0.00888 0.00876
    下载: 导出CSV
  • [1] 蔡盛, 柏旭光, 乔彦峰. 基于标定的IRFPA非均匀性校正方法综述[J]. 红外技术, 2007, 29(10): 589-592. doi:  10.3969/j.issn.1001-8891.2007.10.008

    CAI Sheng, BAI Xuguang, QIAO Yanfeng. Summarize on the Nonuniformity Correction Algorithms for IRFPA Based on Calibration[J]. Infrared Technology, 2007, 29(10): 589-592. doi:  10.3969/j.issn.1001-8891.2007.10.008
    [2] Scribner D A, Sarkady K A, Caulfield J T, et al. Nonuniformity correction for staring IR focal plane arrays using scene-based techniques[C]//Infrared Detectors and Focal Plane Arrays. International Society for Optics and Photonics, 1990, 1308: 224-233.
    [3] 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. A Review of Scene-based Nonuniformity Correction Algorithms for Infrared Focal Plane Arrays[J]. Infrared Technology, 2018, 40(10): 952-960. https://www.cnki.com.cn/Article/CJFDTOTAL-HWJS201810005.htm
    [4] 洪闻青, 姚立斌, 姬荣斌, 等. 基于不同积分时间帧累加的红外图像超帧方法[J]. 光学精密工程, 2016, 24(6): 1490-1500. https://www.cnki.com.cn/Article/CJFDTOTAL-GXJM201606032.htm

    HONG Wenqing, YAO Libin, JI Rongbin, et al. A super-frame processing method for infrared image based on accumulation of different integration time frame[J]. Optics and Precision Engineering, 2016, 24(6): 1490-1500. https://www.cnki.com.cn/Article/CJFDTOTAL-GXJM201606032.htm
    [5] CHEN N, ZHANG J, ZHONG S, et al. Nonuniformity Correction for Variable-Integration-Time Infrared Camera[J]. IEEE Photonics Journal, 2018, 10(6): 1-11. http://www.zhangqiaokeyan.com/academic-journal-foreign_other_thesis/0204112541971.html
    [6] LIU M, LI S, LI L, et al. Infrared HDR image fusion based on response model of cooled IRFPA under variable integration time[J]. Infrared Physics & Technology, 2018, 94: 191-199. http://www.sciencedirect.com/science/article/pii/S1350449518303207
    [7] 白乐, 赖雪峰, 韩维强, 等. 适应积分时间调整的红外图像非均匀性校正方法[J]. 光子学报, 2020, 49(1): 0110002. https://www.cnki.com.cn/Article/CJFDTOTAL-GZXB202001020.htm

    BAI Le, LAI Xuefeng, HAN Weiqiang, et al. Infrared Image Nonuniformity Correction Method Adapted to Adjustment of Integration Time[J]. ACTA Photonica Sinica, 2020, 49(1): 0110002 https://www.cnki.com.cn/Article/CJFDTOTAL-GZXB202001020.htm
    [8] Ochs M, Schulz A, Bauer H J. High dynamic range infrared thermography by pixelwise radiometric self calibration[J]. Infrared Physics & Technology, 2010, 53(2): 112-119. http://www.sciencedirect.com/science/article/pii/S1350449509001303
    [9] Rogalski A. Infrared Detectors[M]. Boca Raton, FL: CRC press, 2010.
    [10] EMVA 1288 Working Group. EMVA Standard 1288–Standard for Characterization of Image Sensors and Cameras, Release 3.1[S].[2020-04-20], 2016.
    [11] Mitsunaga T, Nayar S K. Radiometric self calibration[C]//Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1999, 1: 374-380.
    [12] Mooney J M, Sheppard F D, Ewing W S, et al. Responsivity nonuniformity limited performance of infrared staring cameras[J]. Optical Engineering, 1989, 28(11): 281151. http://adsabs.harvard.edu/abs/1989opten..28.1151m
    [13] Majeed M Hayat, Sergio N Torres, Ernest Armstrong, et al. Statistical algorithm for nonuniformity correction in focal-plane arrays[J]. Applied Optics, 1999, 38: 772-780. doi:  10.1364/AO.38.000772
  • 加载中
图(2) / 表(2)
计量
  • 文章访问数:  851
  • HTML全文浏览量:  265
  • PDF下载量:  124
  • 被引次数: 0
出版历程
  • 收稿日期:  2020-12-17
  • 修回日期:  2021-03-03
  • 刊出日期:  2021-04-02

目录

    /

    返回文章
    返回