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Proceedings Paper

Noise reduction in images using prior knowledge as a constraint
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. In this paper, these results are generalized and the usefulness of this new constraint to decrease 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: 30 September 1994
PDF: 6 pages
Proc. SPIE 2302, Image Reconstruction and Restoration, (30 September 1994); doi: 10.1117/12.188063
Show Author Affiliations
Charles L. Matson, Air Force Philips Lab. (United States)


Published in SPIE Proceedings Vol. 2302:
Image Reconstruction and Restoration
Timothy J. Schulz; Donald L. Snyder, Editor(s)

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