• DocumentCode
    3541392
  • Title

    Restricted Isometry Property in coded aperture compressive spectral imaging

  • Author

    Arguello, Henry ; Arce, Gonzalo R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Delaware, Newark, DE, USA
  • fYear
    2012
  • fDate
    5-8 Aug. 2012
  • Firstpage
    716
  • Lastpage
    719
  • Abstract
    Coded Aperture Snapshot Spectral Imaging Systems (CASSI) capture the spectral information of a scene using a set of coded focal plane array measurements. Compressed sensing reconstruction algorithms are used to reconstruct the underlying spectral 3D data cube. The coded measurements in CASSI use structured sensing matrices. This article describes the Restricted Isometry Property (RIP) for the projection matrices used in CASSI. In turn, the RIP provides guidelines for the minimum number of FPA measurement shots needed for image reconstruction. It also provides the optimal transmittance parameters for the set of code apertures used in the acquisition process.
  • Keywords
    compressed sensing; image coding; image reconstruction; matrix algebra; CASSI; FPA measurement; RIP; coded aperture snapshot spectral imaging systems; coded focal plane array measurements; compressed sensing reconstruction algorithms; image acquisition process; image reconstruction; optimal transmittance parameters; projection matrices; restricted isometry property; spectral 3D data cube; spectral information; structured sensing matrices; Apertures; Compressed sensing; Image reconstruction; Imaging; Random variables; Sensors; Sparse matrices; CASSI; RIP; compressive sensing; spectral imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing Workshop (SSP), 2012 IEEE
  • Conference_Location
    Ann Arbor, MI
  • ISSN
    pending
  • Print_ISBN
    978-1-4673-0182-4
  • Electronic_ISBN
    pending
  • Type

    conf

  • DOI
    10.1109/SSP.2012.6319803
  • Filename
    6319803