中国物理B ›› 2018, Vol. 27 ›› Issue (7): 74202-074202.doi: 10.1088/1674-1056/27/7/074202

• ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS • 上一篇    下一篇

Super-resolution imaging via sparsity constraint and sparse speckle illumination

Pengwei Wang(王鹏威), Wei Li(李伟), Chenglong Wang(王成龙), Zunwang Bo(薄遵望), Wenlin Gong(龚文林)   

  1. 1 Key Laboratory for Quantum Optics and Center for Cold Atom Physics, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China;
    2 University of Chinese Academy of Sciences, Beijing 100049, China;
    3 Academy of Opto-electronics, Chinese Academy of Sciences, Beijing 100094, China
  • 收稿日期:2018-02-05 修回日期:2018-03-19 出版日期:2018-07-05 发布日期:2018-07-05
  • 通讯作者: Wenlin Gong E-mail:gongwl@siom.ac.cn
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant No. 61571427).

Super-resolution imaging via sparsity constraint and sparse speckle illumination

Pengwei Wang(王鹏威)1,2, Wei Li(李伟)2,3, Chenglong Wang(王成龙)1,2, Zunwang Bo(薄遵望)1, Wenlin Gong(龚文林)1   

  1. 1 Key Laboratory for Quantum Optics and Center for Cold Atom Physics, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China;
    2 University of Chinese Academy of Sciences, Beijing 100049, China;
    3 Academy of Opto-electronics, Chinese Academy of Sciences, Beijing 100094, China
  • Received:2018-02-05 Revised:2018-03-19 Online:2018-07-05 Published:2018-07-05
  • Contact: Wenlin Gong E-mail:gongwl@siom.ac.cn
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant No. 61571427).

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摘要： We present an imaging approach via sparsity constraint and sparse speckle illumination which can dramatically enhance the optical system's imaging resolution. When the object is illuminated by some sparse speckles and the sparse reconstruction algorithm is utilized to restore the blur image, numerical simulated results demonstrate that the image, whose resolution exceeds the Rayleigh limit, can be stably reconstructed even if the detection signal-to-noise ratio (SNR) is less than 10 dB. Factors affecting the quality of the reconstructed image, such as the coded pattern's sparsity and the detection SNR, are also studied.

关键词: imaging, and, optical, processing

Abstract: We present an imaging approach via sparsity constraint and sparse speckle illumination which can dramatically enhance the optical system's imaging resolution. When the object is illuminated by some sparse speckles and the sparse reconstruction algorithm is utilized to restore the blur image, numerical simulated results demonstrate that the image, whose resolution exceeds the Rayleigh limit, can be stably reconstructed even if the detection signal-to-noise ratio (SNR) is less than 10 dB. Factors affecting the quality of the reconstructed image, such as the coded pattern's sparsity and the detection SNR, are also studied.

Key words: imaging, and, optical, processing

中图分类号:  (Imaging and optical processing)

  • 42.30.-d