• DocumentCode
    442782
  • Title

    Estimation of spatially varying illumination in hyperspectral images

  • Author

    Rouse, D.M. ; Trussell, H.J.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
  • Volume
    2
  • fYear
    2005
  • fDate
    11-14 Sept. 2005
  • Abstract
    While images often contain only one illumination source, objects in the scene are illuminated by varying intensities of that illuminant. We show that the illuminant can be estimated using a few known reflectances within an image taken with a hyperspectral camera. The method relies on projection to a non-convex constraint set, as well as to convex constraint sets. Simulations and tests on actual hyperspectral images show the method is effective.
  • Keywords
    cameras; geophysical signal processing; lighting; reflectivity; hyperspectral camera; hyperspectral images; nonconvex constraint set; reflectances; spatially varying illumination; Atmosphere; Estimation theory; Hyperspectral imaging; Infrared spectra; Layout; Lighting; Object detection; Reflectivity; Satellites; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2005. ICIP 2005. IEEE International Conference on
  • Print_ISBN
    0-7803-9134-9
  • Type

    conf

  • DOI
    10.1109/ICIP.2005.1530158
  • Filename
    1530158