Compressed Sensing Image Mapping Spectrometer
This paper presents a novel snapshot imaging spectrometer based on the image mapping and compressed sensing concept named Compressed Sensing Image Mapping Spectrometer (CSIMS). The operation principle is to slice the input image to different directions and encode the strip pieces before dispersion b...
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8809703/ |
| _version_ | 1818557555048185856 |
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| author | Xiaoming Ding |
| author_facet | Xiaoming Ding |
| author_sort | Xiaoming Ding |
| collection | DOAJ |
| description | This paper presents a novel snapshot imaging spectrometer based on the image mapping and compressed sensing concept named Compressed Sensing Image Mapping Spectrometer (CSIMS). The operation principle is to slice the input image to different directions and encode the strip pieces before dispersion by a prism. The detector obtains the mixture spatial-spectral data simultaneously. The datacube is reconstructed by the compressed sensing algorithm and combining all the pieces together. The mathematical model of CSIMS is established to describe the light wave propagation through the entire system based on the scalar diffraction theory. The simulations are conducted to prove the effectiveness of the CSIMS principle, and the results show that the reconstructed datacube reveals higher spatial resolution and more accurate spectral curves than that of the relative snapshot imaging spectrometer based on compressed sensing. |
| first_indexed | 2024-12-14T00:01:03Z |
| format | Article |
| id | doaj.art-7a23995c3de84d48bb58da45aaa37c8b |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T00:01:03Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7a23995c3de84d48bb58da45aaa37c8b2022-12-21T23:26:20ZengIEEEIEEE Access2169-35362019-01-01712776512777110.1109/ACCESS.2019.29369658809703Compressed Sensing Image Mapping SpectrometerXiaoming Ding0https://orcid.org/0000-0003-4257-7740Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin, ChinaThis paper presents a novel snapshot imaging spectrometer based on the image mapping and compressed sensing concept named Compressed Sensing Image Mapping Spectrometer (CSIMS). The operation principle is to slice the input image to different directions and encode the strip pieces before dispersion by a prism. The detector obtains the mixture spatial-spectral data simultaneously. The datacube is reconstructed by the compressed sensing algorithm and combining all the pieces together. The mathematical model of CSIMS is established to describe the light wave propagation through the entire system based on the scalar diffraction theory. The simulations are conducted to prove the effectiveness of the CSIMS principle, and the results show that the reconstructed datacube reveals higher spatial resolution and more accurate spectral curves than that of the relative snapshot imaging spectrometer based on compressed sensing.https://ieeexplore.ieee.org/document/8809703/Snapshot imaging spectrometercompressed sensingdatacubereconstruction |
| spellingShingle | Xiaoming Ding Compressed Sensing Image Mapping Spectrometer IEEE Access Snapshot imaging spectrometer compressed sensing datacube reconstruction |
| title | Compressed Sensing Image Mapping Spectrometer |
| title_full | Compressed Sensing Image Mapping Spectrometer |
| title_fullStr | Compressed Sensing Image Mapping Spectrometer |
| title_full_unstemmed | Compressed Sensing Image Mapping Spectrometer |
| title_short | Compressed Sensing Image Mapping Spectrometer |
| title_sort | compressed sensing image mapping spectrometer |
| topic | Snapshot imaging spectrometer compressed sensing datacube reconstruction |
| url | https://ieeexplore.ieee.org/document/8809703/ |
| work_keys_str_mv | AT xiaomingding compressedsensingimagemappingspectrometer |