• DocumentCode
    1887074
  • Title

    Coded aperture compressive spectral imaging

  • Author

    Arguello Fuentes, Henry ; Arce, Gonzalo R.

  • Author_Institution
    Dept. of Syst. Eng., Univ. Ind. de Santander, Bucaramanga, Colombia
  • fYear
    2013
  • fDate
    11-13 Sept. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This article overviews the fundamental optical phenomena behind compressive spectral imaging, presents the key mathematical concepts embodying the sensing and reconstruction mechanisms, and describes the optimization framework used to design optimal coded apertures in a number of applications including hyperspectral image reconstruction, spectral selectivity, and super-resolution.
  • Keywords
    image reconstruction; image resolution; optimisation; coded aperture compressive spectral imaging; hyperspectral image reconstruction; image super-resolution; optical phenomena; optimal coded apertures; optimization framework; spectral selectivity; Apertures; Image coding; Image reconstruction; Image resolution; Imaging; Sensors; Signal resolution; CASSI; Coded Aperture Optimization; Coded aperture; Compressive Sensing; Hyperspectral 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.2013.6644909
  • Filename
    6644909
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1887074