Image Reconstruction By Maximum Entropy

M. C. Kemp; P. H. Jarritt

doi:10.1117/12.934699

1 November 1982 Image Reconstruction By Maximum Entropy

M. C. Kemp, P. H. Jarritt

Proceedings Volume 0375, Medical Imaging and Image Interpretation; (1982) https://doi.org/10.1117/12.934699
Event: 1st International Symposium on Medical Imaging and Image Interpretation, 1982, Berlin, Germany

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.

Citation Download Citation

M. C. Kemp and P. H. Jarritt "Image Reconstruction By Maximum Entropy", Proc. SPIE 0375, Medical Imaging and Image Interpretation, (1 November 1982); https://doi.org/10.1117/12.934699

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