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Proceedings Paper

Image Reconstruction By Maximum Entropy
Author(s): M. C. Kemp; P. H. Jarritt
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Paper Abstract

The maximum entropy method (ME) in the form proposed by Gull and Daniell1 is a powerful and general method for reconstructing, from incomplete and noisy data, an image which takes noise into account and gives smooth, positive reconstructions with a resolution automatically determined by the quality of the data. The method is described and examples from tomography and image deconvolution are used to illustrate its properties.

Paper Details

Date Published: 1 November 1982
PDF: 6 pages
Proc. SPIE 0375, Medical Imaging and Image Interpretation, (1 November 1982); doi: 10.1117/12.934699
Show Author Affiliations
M. C. Kemp, Toltec Computer Ltd. (England)
P. H. Jarritt, The Middlesex Hospital Medical School (England)


Published in SPIE Proceedings Vol. 0375:
Medical Imaging and Image Interpretation
Judith M. S. Prewitt, Editor(s)

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