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
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;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1530158