Super-Resolution Imaging Through Scattering Medium Based on Parallel Compressed Sensing

Recent studies show that compressed sensing (CS) can recover sparse signal with much fewer measurements than traditional Nyquist theorem. From another point of view, it provides a new idea for super-resolution imaging, like the emergence of single pixel camera. However, traditional methods implement...

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Main Authors: Yao Zhao, Qian Chen, Shenghang Zhou, Guohua Gu, Xiubao Sui
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Photonics Journal
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Online Access:https://ieeexplore.ieee.org/document/8013687/
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author Yao Zhao
Qian Chen
Shenghang Zhou
Guohua Gu
Xiubao Sui
author_facet Yao Zhao
Qian Chen
Shenghang Zhou
Guohua Gu
Xiubao Sui
author_sort Yao Zhao
collection DOAJ
description Recent studies show that compressed sensing (CS) can recover sparse signal with much fewer measurements than traditional Nyquist theorem. From another point of view, it provides a new idea for super-resolution imaging, like the emergence of single pixel camera. However, traditional methods implemented measurement matrix by digital mirror device (DMD) or spatial light modulator, which is a serial imaging process and makes the method inefficient. In this paper, we propose a super resolution imaging system based on parallel compressed sensing. The proposed method first measures the transmission matrix of the scattering sheet and then recover high resolution objects by “two-step phase shift” technology and CS reconstruction algorithm. Unlike traditional methods, the proposed method realizes parallel measurement matrix by a simple scattering sheet. Parallel means that charge-coupled device camera can obtain enough measurements at once instead of changing the patterns on the DMD repeatedly. Simulations and experimental results show the effectiveness of the proposed method.
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institution OA Journals
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language English
publishDate 2017-01-01
publisher IEEE
record_format Article
series IEEE Photonics Journal
spelling doaj-art-e9c0c0461e2e43d39c4d398c026b22c22025-08-20T02:38:11ZengIEEEIEEE Photonics Journal1943-06552017-01-019511210.1109/JPHOT.2017.27380078013687Super-Resolution Imaging Through Scattering Medium Based on Parallel Compressed SensingYao Zhao0Qian Chen1Shenghang Zhou2Guohua Gu3Xiubao Sui4School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing, ChinaSchool of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing, ChinaSchool of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing, ChinaSchool of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing, ChinaSchool of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing, ChinaRecent studies show that compressed sensing (CS) can recover sparse signal with much fewer measurements than traditional Nyquist theorem. From another point of view, it provides a new idea for super-resolution imaging, like the emergence of single pixel camera. However, traditional methods implemented measurement matrix by digital mirror device (DMD) or spatial light modulator, which is a serial imaging process and makes the method inefficient. In this paper, we propose a super resolution imaging system based on parallel compressed sensing. The proposed method first measures the transmission matrix of the scattering sheet and then recover high resolution objects by “two-step phase shift” technology and CS reconstruction algorithm. Unlike traditional methods, the proposed method realizes parallel measurement matrix by a simple scattering sheet. Parallel means that charge-coupled device camera can obtain enough measurements at once instead of changing the patterns on the DMD repeatedly. Simulations and experimental results show the effectiveness of the proposed method.https://ieeexplore.ieee.org/document/8013687/Parallel compressed sensingsuper-resolution imagingscattering medium
spellingShingle Yao Zhao
Qian Chen
Shenghang Zhou
Guohua Gu
Xiubao Sui
Super-Resolution Imaging Through Scattering Medium Based on Parallel Compressed Sensing
IEEE Photonics Journal
Parallel compressed sensing
super-resolution imaging
scattering medium
title Super-Resolution Imaging Through Scattering Medium Based on Parallel Compressed Sensing
title_full Super-Resolution Imaging Through Scattering Medium Based on Parallel Compressed Sensing
title_fullStr Super-Resolution Imaging Through Scattering Medium Based on Parallel Compressed Sensing
title_full_unstemmed Super-Resolution Imaging Through Scattering Medium Based on Parallel Compressed Sensing
title_short Super-Resolution Imaging Through Scattering Medium Based on Parallel Compressed Sensing
title_sort super resolution imaging through scattering medium based on parallel compressed sensing
topic Parallel compressed sensing
super-resolution imaging
scattering medium
url https://ieeexplore.ieee.org/document/8013687/
work_keys_str_mv AT yaozhao superresolutionimagingthroughscatteringmediumbasedonparallelcompressedsensing
AT qianchen superresolutionimagingthroughscatteringmediumbasedonparallelcompressedsensing
AT shenghangzhou superresolutionimagingthroughscatteringmediumbasedonparallelcompressedsensing
AT guohuagu superresolutionimagingthroughscatteringmediumbasedonparallelcompressedsensing
AT xiubaosui superresolutionimagingthroughscatteringmediumbasedonparallelcompressedsensing