Data restoration in chromotomographic hyperspectral imaging

Myoung Hee An; Andrzej K. Brodzik; Jonathan Martin Mooney; Richard Tolimieri

doi:10.1117/12.409266

16 November 2000 Data restoration in chromotomographic hyperspectral imaging

Myoung Hee An, Andrzej K. Brodzik, Jonathan Martin Mooney, Richard Tolimieri

Proceedings Volume 4123, Image Reconstruction from Incomplete Data; (2000) https://doi.org/10.1117/12.409266
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

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.

Citation Download Citation

Myoung Hee An, Andrzej K. Brodzik, Jonathan Martin Mooney, and Richard Tolimieri "Data restoration in chromotomographic hyperspectral imaging", Proc. SPIE 4123, Image Reconstruction from Incomplete Data, (16 November 2000); https://doi.org/10.1117/12.409266

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