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Chin. Phys. B, 2018, Vol. 27(7): 074202    DOI: 10.1088/1674-1056/27/7/074202
ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS Prev   Next  

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 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
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.
Keywords:  imaging      and      optical      processing     
Received:  05 February 2018      Published:  05 July 2018
PACS:  42.30.-d (Imaging and optical processing)  
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 61571427).
Corresponding Authors:  Wenlin Gong     E-mail:  gongwl@siom.ac.cn

Cite this article: 

Pengwei Wang, Wei Li, Chenglong Wang, Zunwang Bo, Wenlin Gong Super-resolution imaging via sparsity constraint and sparse speckle illumination 2018 Chin. Phys. B 27 074202

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