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Proceedings Paper

New iterative algorithm for restoration of chromotomographic images
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Paper Abstract

We present a new algorithm for chromotomographic image restoration. The main stage of the algorithm employs the iterative method of projections onto convex sets, utilizing a new constraint operator. The constraint takes advantage of hyperspectral data redundancy and information compacting ability of singular value decomposition to reduce noise and artifacts. Results of experiments on both in-house and AVIRIS data demonstrate that the algorithm converges rapidly and delivers high image fidelity.

Paper Details

Date Published: 16 October 1998
PDF: 12 pages
Proc. SPIE 3438, Imaging Spectrometry IV, (16 October 1998); doi: 10.1117/12.328107
Show Author Affiliations
Andrzej K. Brodzik, Scientific Software (United States)
Jonathan Martin Mooney, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 3438:
Imaging Spectrometry IV
Michael R. Descour; Sylvia S. Shen, Editor(s)

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