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Proceedings Paper

Parallel compressed sensing super-resolution imaging via using multiply scattering medium
Author(s): Yao Zhao; Qian Chen; Xiubao Sui; Shenghang Zhou; Hang Gao
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Paper Abstract

Recent studies have shown that compressed sensing is capable of recover sparse signals with much few measurements. Meanwhile, it provides a new idea for super resolution imaging. However, previous compressed sensing super resolution imaging methods use digital micro-mirror device or coded aperture as the measurement matrix, which makes the method inefficient. In this paper, we propose a super-resolution method via parallel compressed sensing, the proposed method using scattering medium as the measurement matrix, which we can get enough measurement values at once. Each measurement values contains global information about the object. Experiment simulation results show the effectiveness of the proposed method.

Paper Details

Date Published: 28 September 2016
PDF: 7 pages
Proc. SPIE 9948, Novel Optical Systems Design and Optimization XIX, 994813 (28 September 2016); doi: 10.1117/12.2236424
Show Author Affiliations
Yao Zhao, Nanjing Univ. of Science and Technology (China)
Qian Chen, Nanjing Univ. of Science and Technology (China)
Xiubao Sui, Nanjing Univ. of Science and Technology (China)
Shenghang Zhou, Nanjing Univ. of Science and Technology (China)
Hang Gao, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9948:
Novel Optical Systems Design and Optimization XIX
Arthur J. Davis; Cornelius F. Hahlweg; Joseph R. Mulley, Editor(s)

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