Infrared and Laser Engineering, Volume. 50, Issue 10, 20210294(2021)

Denoising algorithm based on improved Markov random field for event camera

Pengju Li1, Yasheng Zhang2, Yuqiang Fang2, and Zhiyong Yin2
Author Affiliations
  • 1Graduate College, Space Engineering University, Beijing 101416, China
  • 2Space Engineering University, Beijing 101416, China
  • show less
    References(15)

    [1] Mueggler E, Gallego G, Rebecq H, et al. Continuous-time visual-inertial odometry for event cameras[J]. IEEE Transactions on Robotics, 34, 1425-1440(2018).

    [2] Zhou Xiaolong, Liu Qianqian, Zuo Yifan, et al. Event camera-based visual tracking algorith: A survey[J]. Mini-Micro Systems, 47, 342-350(2021).

    [3] [3] Chen Shoushun, Guo Menghan. Live demonstration: CeleXV: A 1M pixel multimode eventbased sens [C]IEEE Computer Society Conference on Computer Vision Pattern Recognition Wkshops, 2019: 16821683.

    [4] [4] Suh Y, Choi S, Ito M, et al. A 1280×960 dynamic vision sens with a 4.95μm pixel pitch motion artifact minimization [C] IEEE International Symposium on Circuits Systems (ISCAS), 2020: 9180436.

    [5] [5] Stromatias E, Soto M, Serranogotarredona T, et al. An eventbased classifier f dynamic vision sens synthetic data[J]. Applied Sciences, 2020, 10(1): 20242042.

    [6] Wang Lichun, Singh R S. Linear Bayes estimator for the two-parameter exponential family under type II censoring[J]. Computational Statistics & Data Analysis, 71, 633-642(2014).

    [7] Yan Changda, Wang Xia, Zuo Yifan, et al. Visualization and noise reduction algorithm based on event camera[J]. Journal of Beijing University of Aeronautics and Astronautics, 47, 342-350(2021).

    [8] Brown D A, McMahan C S, Self S W.. Sampling strategies for fast updating of Gaussian Markov random fields[J]. The American Statistician, 75, 52-65(2021).

    [9] Bai Kejia, Liu Weiming. Shadow detection algorithm based on fuzzy Markov random fields[J]. Journal of Image and Graphics, 15, 409-416(2010).

    [10] [10] Bishop C M. Pattern Recognition Machine Learning[M]. Berlin: Springer, 2006.

    [11] Zhang Cundu, Zhao Jianhui, Li Fan. Star extraction method for dynamical star image based on maximum a posteriori estimation[J]. Semiconductor Optoelectronics, 39, 903-908(2018).

    [12] Wu Jinjian, Ma Chuanwei, Li Leida, et al. Probabilistic undirected graph based denoising method for dynamic vision sensor[J]. IEEE Transactions on Multimedia, 299395(2020).

    [13] [13] Mueggler E, Rebecq H, Gallego G, et al. The eventcamera dataset simulat: Eventbased data f pose estimation, visual odometry, SLAM[J]. International Journal of Robotics Research, 2016, 36(2): 142149.

    [14] Khodamoradi, A and Kastner, R. O(N)-space spatiotemporal filter for reducing noise in neuromorphic vision sensors[J]. IEEE Transactions on Emerging Topics in Computing, 9, 15-23(2021).

    [15] Guo S, Kang Z, Wang L, et al. A noise filter for dynamic vision sensors using self-adjusting threshold[J]. arXiv, 2004.04079(2020).

    Tools

    Get Citation

    Copy Citation Text

    Pengju Li, Yasheng Zhang, Yuqiang Fang, Zhiyong Yin. Denoising algorithm based on improved Markov random field for event camera[J]. Infrared and Laser Engineering, 2021, 50(10): 20210294

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Special issue—Advanced design and manufacturing of optical system

    Received: May. 5, 2021

    Accepted: --

    Published Online: Dec. 7, 2021

    The Author Email:

    DOI:10.3788/IRLA20210294

    Topics