时域递归滤波对微光成像视距影响的研究

韩亦勇, 张俊举, 常本康, 贺婷婷

韩亦勇, 张俊举, 常本康, 贺婷婷. 时域递归滤波对微光成像视距影响的研究[J]. 应用光学, 2011, 32(4): 667-670.
引用本文: 韩亦勇, 张俊举, 常本康, 贺婷婷. 时域递归滤波对微光成像视距影响的研究[J]. 应用光学, 2011, 32(4): 667-670.
HAN Yi-yong, ZHANG Jun-ju, CHANG Ben-kang, HE Ting-ting. Effect of temporal recursive filtering on visual range of LLL imaging[J]. Journal of Applied Optics, 2011, 32(4): 667-670.
Citation: HAN Yi-yong, ZHANG Jun-ju, CHANG Ben-kang, HE Ting-ting. Effect of temporal recursive filtering on visual range of LLL imaging[J]. Journal of Applied Optics, 2011, 32(4): 667-670.

时域递归滤波对微光成像视距影响的研究

详细信息
    通讯作者:

    韩亦勇(1987-),男,江苏南通人,博士生,主要从事图像处理、视频融合和信息感知等方面的研究工作。

  • 中图分类号: TN223

Effect of temporal recursive filtering on visual range of LLL imaging

  • 摘要: 针对微光成像中噪声较大及视距较短的问题,提出了一种自适应时域递归滤波算法。该算法通过自动调节时域递归的滤波系数来提高信噪比和延伸视距。实验显示当滤波系数分别为0.50、0.75和0.875时,视距分别能延伸至原始的1.73倍、2.64倍和3.87倍,所得到的视距延伸与理论值基本保持一致。实验结果表明该算法在保持图像运动部分清晰的同时,还能有效地消除噪声并延伸微光成像系统的视距。
    Abstract: An adaptive temporal recursive filtering algorithm is developed to improve noise and visual range performance in low level light (LLL) imaging. The proposed algorithm improves the SNR and extends the visual range by adjusting the coefficient of temporal recursive filter. The extension of visual range using the adaptive temporal recursive filtering agrees with the theory, and the experimental results indicate this algorithm can maintain a clear motion image, and improve the noise and visual range performance of LLL imaging system.
  • [1]史继芳,王生云,孙宇楠,等. 三代微光像增强器亮度增益测量装置[J]. 应用光学,2011, 32(2): 300-302.
    SHI Ji-fang,WANG Sheng-yun, SUN Yu-nan,et al. Third generation of image intensifier brightness gain measurement device[J]. Journal of Applied Optics, 2011, 32(2): 300-302.(in Chinese with an English abstract)
    [2]徐江涛, 张兴社. 微光像增强器的最新发展动向[J]. 应用光学, 2005, 26(2): 21-23.
    XU Jiang-tao, ZHANG Xing-she. The latest development of low-light-level image intensifier[J]. Journal of Applied Optics, 2005, 26(2): 21-23. (in Chinese with an English abstract)
    [3]常本康. 多碱光电阴极[M]. 北京:机械工业出版社, 1995.
    CHANG Ben-kang. Multialkali photocathodes[M]. Beijing:Machinery Industry Press, 1995. (in Chinese)
    [4]张俊举,常本康. 基于运动判断的动态帧间滤波方法[J]. 红外技术, 2004, 26(5): 33-36.
    ZHANG Jun-ju, CHANG Ben-kang. A filtering algorithm based on detecting motion in image sequences[J]. Infrared Technology, 2004, 26(5): 33-36. (in Chinese with an English abstract)
    [5]杨晋伟. 多光谱融合前端图像实时降噪处理系统的研究[M]. 南京理工大学, 2009.
    YANG Jin-wei. The research of the real-time image noise reduction system in front of the multi-spectrum fusion [M]. Nanjing University of Science & Technology, 2009.(in Chinese)
    [6]冯鹏,魏彪. 基于时域递归滤波的动态数字图像降噪[J]. 重庆大学学报, 2005, 28(2): 23-26.
    FENG Pe, WEI Biao. Noise-reduction of digital video image based on time-recursive filtering[J]. Journal of Chongqing University, 2005, 28(2): 23-26. (in Chinese with an English abstract)
    [7]向世明. 微光像增强器信噪比理论极限问题研究[J]. 应用光学, 2008, 29(5): 724-726.
    XIANG Shi-ming. Theoretical limit for SNR of LLL image intensifiers[J]. Journal of Applied Optics, 2008, 29(5): 724-726. (in Chinese with an English abstract)
    [8]ZLOKOLICA V, PIITIRICA A, PHILIPS W. Recursive temporal denoising and motion estimation in video[J]. IEEE, 2004,3: 1465-1468.
    [9]COCCHIA F, CARRATO S, RAMPONI G. Design and real-time implementation of a 3-D rational filter for edge preserving smoothing[J]. IEEE Transactions on Consumer Electronics, 1997, 43(12): 1291-1300.
    [10]刘磊,常本康. 微光成像系统视距理论公式的修正[J]. 光学学报, 2003, 23(6): 761-765.
    LIU Lei, CHANG Ben-kang. The revised formula for visual range of low light level imaging system[J]. Acta Optica Sincia, 2003, 23(6): 761-765. (in Chinese with an English abstract)
计量
  • 文章访问数:  3683
  • HTML全文浏览量:  98
  • PDF下载量:  596
  • 被引次数: 0
出版历程
  • 刊出日期:  2011-07-14

目录

    /

    返回文章
    返回