Efficient reconstruction of Raman spectroscopy imaging based on compressive sensing
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| Format: | Artículo científico |
| Sprache: | en |
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Universidad Nacional de Colombia
2014
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| _version_ | 1876487379410223104 |
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| author | Diana Fernanda Galvis-Carreño |
| author_facet | Diana Fernanda Galvis-Carreño |
| contents | Efficient reconstruction of Raman spectroscopy imaging based on compressive sensing Diana Fernanda Galvis-Carreño Yuri Hercilia Mejía-Melgarejo Henry Arguello-Fuentes Ingeniería Coded Aperture Spectral Imaging Raman Spectroscopy Compressed Sensing Raman Spectroscopy Imaging requires long periods of time for th e data acquisition and subsequent treatment of the spectral che mical images. Recently, Compressed Sensing (CS) technique has been us ed satisfactorily in Raman Spectroscopy Imaging, reducing the acquisition time by simultaneously sensing and compressing the underlying Raman spectral signals. The Coded Aperture Snapshot Spectral Imager (CASSI) is an optical architecture that applied effectively the CS technique in Raman Spectroscopy Imaging. Th e main optical element of CASSI system is a coded aperture, which can transmit or block the information from the underlying scene. Th e principal design variable in the coded apertures is the percent age of transmissive elements or transmittance. This paper descr ibes the technique of CS in Raman Spectroscopy imaging by using the CASS I system and realizes the selection of the optimal transmittanc e values of the coded apertures to ensure an efficient recovery o f Raman Images. Diverse simulations are performed to determine the Peak Signal to Noise Ratio (PSNR) of the reconstructed Raman data cu bes as a function of the transmittance of the coded apertures, the size of the underlying Raman data cubes and the number of projections e xpressed in terms of the compression ratio. 2014 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49632758015 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.188 Vol.81 |
| format | Artículo científico |
| id | redalyc_49632758015 |
| institution | Redalyc |
| language | en |
| publishDate | 2014 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Efficient reconstruction of Raman spectroscopy imaging based on compressive sensing Diana Fernanda Galvis-Carreño Ingeniería Coded Aperture Spectral Imaging Raman Spectroscopy Compressed Sensing Efficient reconstruction of Raman spectroscopy imaging based on compressive sensing Diana Fernanda Galvis-Carreño Yuri Hercilia Mejía-Melgarejo Henry Arguello-Fuentes Ingeniería Coded Aperture Spectral Imaging Raman Spectroscopy Compressed Sensing Raman Spectroscopy Imaging requires long periods of time for th e data acquisition and subsequent treatment of the spectral che mical images. Recently, Compressed Sensing (CS) technique has been us ed satisfactorily in Raman Spectroscopy Imaging, reducing the acquisition time by simultaneously sensing and compressing the underlying Raman spectral signals. The Coded Aperture Snapshot Spectral Imager (CASSI) is an optical architecture that applied effectively the CS technique in Raman Spectroscopy Imaging. Th e main optical element of CASSI system is a coded aperture, which can transmit or block the information from the underlying scene. Th e principal design variable in the coded apertures is the percent age of transmissive elements or transmittance. This paper descr ibes the technique of CS in Raman Spectroscopy imaging by using the CASS I system and realizes the selection of the optimal transmittanc e values of the coded apertures to ensure an efficient recovery o f Raman Images. Diverse simulations are performed to determine the Peak Signal to Noise Ratio (PSNR) of the reconstructed Raman data cu bes as a function of the transmittance of the coded apertures, the size of the underlying Raman data cubes and the number of projections e xpressed in terms of the compression ratio. 2014 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49632758015 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.188 Vol.81 |
| title | Efficient reconstruction of Raman spectroscopy imaging based on compressive sensing |
| topic | Ingeniería Coded Aperture Spectral Imaging Raman Spectroscopy Compressed Sensing |
| url | https://www.redalyc.org/articulo.oa?id=49632758015 |