Data restoration in chromotomographic hyperspectral imaging

Details Data restoration in chromotomographic hyperspectral imaging Data restoration in chromotomographic hyperspectral imaging

Nov 2000

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000spie.4123..150a&link_type=abstract

Proc. SPIE Vol. 4123, p. 150-161, Image Reconstruction from Incomplete Data, Michael A. Fiddy; Rick P. Millane; Eds.

Computer Science

Scientific paper

Recently, a new approach to hyperspectral imaging, relying on the theory of computed tomography, was proposed by researchers at the Air Force Research Laboratory. The approach allows all photons to be recorded and therefore increases robustness of the imaging system to noise and focal plane array non-uniformities. However, as all computed tomography systems, the approach suffers form the limited angle problem, which obstructs reconstruction of the hyperspectral information. In this work we present a direct, one-step algorithm for reconstruction of the unknown information based on a priori knowledge about the hyperspectral image.

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