Parallel compressed sensing super-resolution imaging via using multiply scattering medium

Yao Zhao; Qian Chen; Xiubao Sui; Shenghang Zhou; Hang Gao

doi:10.1117/12.2236424

28 September 2016 Parallel compressed sensing super-resolution imaging via using multiply scattering medium

Yao Zhao, Qian Chen, Xiubao Sui, Shenghang Zhou, Hang Gao

Proceedings Volume 9948, Novel Optical Systems Design and Optimization XIX; 994813 (2016) https://doi.org/10.1117/12.2236424
Event: SPIE Optical Engineering + Applications, 2016, San Diego, California, United States

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.

Citation Download Citation

Yao Zhao, Qian Chen, Xiubao Sui, Shenghang Zhou, and Hang Gao "Parallel compressed sensing super-resolution imaging via using multiply scattering medium", Proc. SPIE 9948, Novel Optical Systems Design and Optimization XIX, 994813 (28 September 2016); https://doi.org/10.1117/12.2236424

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