Compressive Super-Resolution Imaging Based on Scrambled Block Hadamard Ensemble
Recent advances in the field of compressive sensing indicate that it is possible to robustly reconstruct images from judicious compressive samples. In this paper, we propose a novel model to achieve compressive super-resolution imaging based on an optical realization of scrambled block Hadamard ense...
Ausführliche Beschreibung
Autor*in: |
Yicheng Sun [verfasserIn] Xiubao Sui [verfasserIn] Guohua Gu [verfasserIn] Yuan Liu [verfasserIn] Shuangshuang Xu [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2016 |
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Übergeordnetes Werk: |
In: IEEE Photonics Journal - IEEE, 2015, 8(2016), 2, Seite 8 |
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Übergeordnetes Werk: |
volume:8 ; year:2016 ; number:2 ; pages:8 |
Links: |
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DOI / URN: |
10.1109/JPHOT.2016.2541858 |
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Katalog-ID: |
DOAJ049659383 |
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10.1109/JPHOT.2016.2541858 doi (DE-627)DOAJ049659383 (DE-599)DOAJ9d7d1f85e1094653bb115d58a4e57780 DE-627 ger DE-627 rakwb eng TA1501-1820 QC350-467 Yicheng Sun verfasserin aut Compressive Super-Resolution Imaging Based on Scrambled Block Hadamard Ensemble 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Recent advances in the field of compressive sensing indicate that it is possible to robustly reconstruct images from judicious compressive samples. In this paper, we propose a novel model to achieve compressive super-resolution imaging based on an optical realization of scrambled block Hadamard ensemble sensing operation. We further demonstrate that the proposed model can achieve a four-time higher spatial resolution imaging with a small number of measurements in a single-shot acquisition process. Super-resolution Compressive sensing Applied optics. Photonics Optics. Light Xiubao Sui verfasserin aut Guohua Gu verfasserin aut Yuan Liu verfasserin aut Shuangshuang Xu verfasserin aut In IEEE Photonics Journal IEEE, 2015 8(2016), 2, Seite 8 (DE-627)600310272 (DE-600)2495610-7 19430655 nnns volume:8 year:2016 number:2 pages:8 https://doi.org/10.1109/JPHOT.2016.2541858 kostenfrei https://doaj.org/article/9d7d1f85e1094653bb115d58a4e57780 kostenfrei https://ieeexplore.ieee.org/document/7433388/ kostenfrei https://doaj.org/toc/1943-0655 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2016 2 8 |
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Compressive Super-Resolution Imaging Based on Scrambled Block Hadamard Ensemble |
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Recent advances in the field of compressive sensing indicate that it is possible to robustly reconstruct images from judicious compressive samples. In this paper, we propose a novel model to achieve compressive super-resolution imaging based on an optical realization of scrambled block Hadamard ensemble sensing operation. We further demonstrate that the proposed model can achieve a four-time higher spatial resolution imaging with a small number of measurements in a single-shot acquisition process. |
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Recent advances in the field of compressive sensing indicate that it is possible to robustly reconstruct images from judicious compressive samples. In this paper, we propose a novel model to achieve compressive super-resolution imaging based on an optical realization of scrambled block Hadamard ensemble sensing operation. We further demonstrate that the proposed model can achieve a four-time higher spatial resolution imaging with a small number of measurements in a single-shot acquisition process. |
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Recent advances in the field of compressive sensing indicate that it is possible to robustly reconstruct images from judicious compressive samples. In this paper, we propose a novel model to achieve compressive super-resolution imaging based on an optical realization of scrambled block Hadamard ensemble sensing operation. We further demonstrate that the proposed model can achieve a four-time higher spatial resolution imaging with a small number of measurements in a single-shot acquisition process. |
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