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Optical Engineering

Error reduction in images using high-quality prior knowledge
Author(s): Charles L. Matson
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Paper Abstract

The use of information about an image in addition to measured data has been demonstrated to provide the possibility of decreasing the noise in the measured data. A new constraint, recently proposed, is that of perfect knowledge of part of an image. These results are generalized, and the usefulness of this new constraint in decreasing noise outside the region of prior knowledge is shown to be a function of the measured data noise-correlation properties. In particular, it is shown that prior high-quality knowledge is a generalization of support constraints.

Paper Details

Date Published: 1 October 1994
PDF: 4 pages
Opt. Eng. 33(10) doi: 10.1117/12.181246
Published in: Optical Engineering Volume 33, Issue 10
Show Author Affiliations
Charles L. Matson, Air Force Phillips Lab. (United States)

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