Infrared and Laser Engineering, Volume. 46, Issue 2, 201002(2017)

Fast compressed sensing analysis for super-resolution imaging using random sampling operator

Wang Zhongyang1、*, Zhou Yanfei1,2, Zhang Xiaowei1,3, Shen Hao1, Li Enrong4, Han Shensheng4, Mi Xianqiang1, Tian Lijun2, and Peng Yufeng3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
  • show less

    Single molecule fitting-based super-resolution imaging methods achieve nanoscale image resolution but suffer from a long time resolution. The long acquisition time is limited by the low molecule density of fluorescent molecules that can be localized per imaging frame. In this paper, a fast compressed sensing method was proposed to use random sampling operator, together with the block compressed sensing reconstruction method, have a good performance of localization accuracy under high molecular density and reconstruction speed.

    Tools

    Get Citation

    Copy Citation Text

    Wang Zhongyang, Zhou Yanfei, Zhang Xiaowei, Shen Hao, Li Enrong, Han Shensheng, Mi Xianqiang, Tian Lijun, Peng Yufeng. Fast compressed sensing analysis for super-resolution imaging using random sampling operator[J]. Infrared and Laser Engineering, 2017, 46(2): 201002

    Download Citation

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

    Category:

    Received: Jun. 5, 2016

    Accepted: Jul. 15, 2016

    Published Online: Mar. 31, 2017

    The Author Email: Zhongyang Wang (wangzy@sari.ac.cn)

    DOI:10.3788/irla201746.0201002

    Topics