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Proceedings Paper

Image restoration by convex projections: applications to image spectrometry
Author(s): Andrzej K. Brodzik; M. Mooney; Myoung Hee An
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Paper Abstract

We present a new algorithm for image restoration with application to image spectrometry, combining two radically different techniques: the singular value decomposition (SVD) and the method of projections onto convex sets (POCS). The SVD technique is used to obtain an initial estimate of the unknown image and to establish correspondence between the missing data and the spectral description of the image. The iterative method of convex projections is then applied to the estimate, regaining the missing data by enforcing a sequence of constraints on the reconstructed object. We report results of investigations of the SVD-POCS method and demonstrate that the new algorithm leads to significant improvements in the recovered image.

Paper Details

Date Published: 13 November 1996
PDF: 12 pages
Proc. SPIE 2819, Imaging Spectrometry II, (13 November 1996); doi: 10.1117/12.258069
Show Author Affiliations
Andrzej K. Brodzik, Rome Lab. (United States)
M. Mooney, Rome Lab. (United States)
Myoung Hee An, Rome Lab. (United States)

Published in SPIE Proceedings Vol. 2819:
Imaging Spectrometry II
Michael R. Descour; Jonathan Martin Mooney, Editor(s)

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