Spatial super-resolution in coded aperturebased optical compressive hyperspectral imaging systems
The Coded Aperture Snapshot Spectral Imaging system (CASSI) is a remarkable optical imaging architecture, which senses the spectral information of a three dimensional scene by using two-dimensional coded focal plane array (FPA) projections. The projections in CASSI are localized such that each meas...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Universidad de Antioquia
2013-08-01
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| Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
| Subjects: | |
| Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/16306 |
| _version_ | 1797861721481674752 |
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| author | Henry Arguello Fuentes Hoover Fabian Rueda Chacón |
| author_facet | Henry Arguello Fuentes Hoover Fabian Rueda Chacón |
| author_sort | Henry Arguello Fuentes |
| collection | DOAJ |
| description |
The Coded Aperture Snapshot Spectral Imaging system (CASSI) is a remarkable optical imaging architecture, which senses the spectral information of a three dimensional scene by using two-dimensional coded focal plane array (FPA) projections. The projections in CASSI are localized such that each measurement contains spectral information only from a specific spatial region of the data cube. Spatial resolution in CASSI is highly dependent on the resolution the FPA detector exhibits; hence, high-resolution images require high-resolution detectors that demand high costs. To overcome this problem, in this paper is proposed an optical model for spatial superresolution imaging called SR-CASSI. Spatial super-resolution is attained as an inverse problem from a set of low-resolution coded measurements by using a compressive sensing (CS) reconstruction algorithm. This model allows the reconstruction of spatially super-resolved hyper-spectral data cubes, where the spatial resolution is significantly enhanced. Simulation results show an improvement of up to 8 dB in PSNR when the proposed model is used.
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| first_indexed | 2024-04-09T22:07:41Z |
| format | Article |
| id | doaj.art-dc8dad6dcc2f47b4a7098c133981af49 |
| institution | Directory Open Access Journal |
| issn | 0120-6230 2422-2844 |
| language | English |
| last_indexed | 2024-04-09T22:07:41Z |
| publishDate | 2013-08-01 |
| publisher | Universidad de Antioquia |
| record_format | Article |
| series | Revista Facultad de Ingeniería Universidad de Antioquia |
| spelling | doaj.art-dc8dad6dcc2f47b4a7098c133981af492023-03-23T12:34:29ZengUniversidad de AntioquiaRevista Facultad de Ingeniería Universidad de Antioquia0120-62302422-28442013-08-016710.17533/udea.redin.16306Spatial super-resolution in coded aperturebased optical compressive hyperspectral imaging systemsHenry Arguello Fuentes0Hoover Fabian Rueda Chacón1Industrial University of SantanderIndustrial University of Santander The Coded Aperture Snapshot Spectral Imaging system (CASSI) is a remarkable optical imaging architecture, which senses the spectral information of a three dimensional scene by using two-dimensional coded focal plane array (FPA) projections. The projections in CASSI are localized such that each measurement contains spectral information only from a specific spatial region of the data cube. Spatial resolution in CASSI is highly dependent on the resolution the FPA detector exhibits; hence, high-resolution images require high-resolution detectors that demand high costs. To overcome this problem, in this paper is proposed an optical model for spatial superresolution imaging called SR-CASSI. Spatial super-resolution is attained as an inverse problem from a set of low-resolution coded measurements by using a compressive sensing (CS) reconstruction algorithm. This model allows the reconstruction of spatially super-resolved hyper-spectral data cubes, where the spatial resolution is significantly enhanced. Simulation results show an improvement of up to 8 dB in PSNR when the proposed model is used. https://revistas.udea.edu.co/index.php/ingenieria/article/view/16306super-resolutionhyper-spectral imagingcompressive sensingoptical imagingCASSImulti-shot |
| spellingShingle | Henry Arguello Fuentes Hoover Fabian Rueda Chacón Spatial super-resolution in coded aperturebased optical compressive hyperspectral imaging systems Revista Facultad de Ingeniería Universidad de Antioquia super-resolution hyper-spectral imaging compressive sensing optical imaging CASSI multi-shot |
| title | Spatial super-resolution in coded aperturebased optical compressive hyperspectral imaging systems |
| title_full | Spatial super-resolution in coded aperturebased optical compressive hyperspectral imaging systems |
| title_fullStr | Spatial super-resolution in coded aperturebased optical compressive hyperspectral imaging systems |
| title_full_unstemmed | Spatial super-resolution in coded aperturebased optical compressive hyperspectral imaging systems |
| title_short | Spatial super-resolution in coded aperturebased optical compressive hyperspectral imaging systems |
| title_sort | spatial super resolution in coded aperturebased optical compressive hyperspectral imaging systems |
| topic | super-resolution hyper-spectral imaging compressive sensing optical imaging CASSI multi-shot |
| url | https://revistas.udea.edu.co/index.php/ingenieria/article/view/16306 |
| work_keys_str_mv | AT henryarguellofuentes spatialsuperresolutionincodedaperturebasedopticalcompressivehyperspectralimagingsystems AT hooverfabianruedachacon spatialsuperresolutionincodedaperturebasedopticalcompressivehyperspectralimagingsystems |