• 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