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30 September 1994 Noise reduction in images using prior knowledge as a constraint
Charles L. Matson
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Proceedings Volume 2302, Image Reconstruction and Restoration; (1994) https://doi.org/10.1117/12.188063
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States
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.
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Charles L. Matson "Noise reduction in images using prior knowledge as a constraint", Proc. SPIE 2302, Image Reconstruction and Restoration, (30 September 1994); https://doi.org/10.1117/12.188063
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KEYWORDS
Denoising
Computer simulations
Fourier transforms
Image restoration
Signal to noise ratio
Binary data
Image quality
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