DocumentCode :
1887604
Title :
Transmittance analysis in coded aperture compressive Raman spectroscopy imaging
Author :
Galvis Carreno, Diana ; Arguello Fuentes, Henry
Author_Institution :
Sch. of Chem. Eng., Univ. Ind. de Santander, Bucaramanga, Colombia
fYear :
2013
fDate :
11-13 Sept. 2013
Firstpage :
1
Lastpage :
5
Abstract :
Raman Spectroscopy Imaging has been widely used in the analysis of chemical composition and construction of spectral images of organic and inorganic compounds. It requires long periods of time for the data acquisition and subsequent treatment for spectral images, for this reason, various studies and modifications have been made on the optical architecture of Raman Spectroscopy. Recently, Compressed Sensing (CS) technique has been used satisfactorily in Raman Spectroscopy Imging, reducing the acquisition time by simultaneosly sensing and compressing the underlying spectral signals. Coded Aperture Snapshot Spectral Imager (CASSI) is a remarkable optical architecture that efficiently implements CS in Raman Spectroscopy Imaging. This paper realizes the description of the novel technique of CS in Raman Spectroscopy Imaging. Diverse simulations are used to determine the most adequate structure of coded apertures needed in CASSI as a function of the number of projections. The results show that CASSI system is a promising tool for obtaining Raman image reconstructions of quality in a reduced acquisition time.
Keywords :
Raman spectroscopy; compressed sensing; data acquisition; image reconstruction; inorganic compounds; organic compounds; spectrochemical analysis; CASSI system; chemical composition; coded aperture compressive Raman spectroscopy imaging; coded aperture snapshot spectral imager; compressed sensing technique; data acquisition; inorganic compounds; organic compounds; spectral images; transmittance analysis; Apertures; Compressed sensing; Image coding; Image reconstruction; Imaging; PSNR; Raman scattering; Coded Aperture; Compressed Sensing; Raman Spectroscopy; Spectral Imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image, Signal Processing, and Artificial Vision (STSIVA), 2013 XVIII Symposium of
Conference_Location :
Bogota
Print_ISBN :
978-1-4799-1120-2
Type :
conf
DOI :
10.1109/STSIVA.2013.6644927
Filename :
6644927
Link To Document :
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