Maximum Entropy Image Reconstruction

  title={Maximum Entropy Image Reconstruction},
  author={Stephen J. Wernecke and Larry R. D'Addario},
  journal={IEEE Transactions on Computers},
Two-dimensional digital image reconstruction is an important imaging process in many of the physical sciences. If the data are insufficient to specify a unique reconstruction, an additional criterion must be introduced, either implicitly or explicitly before the best estimate can be computed. Here we use a principle of maximum entropy, which has proven useful in other contexts, to design a procedure for reconstruction from noisy measurements. Implementation is described in detail for the… CONTINUE READING
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Analysis of the ir- University, Stanford, CA, in 1972, 1974, and regularities in the earth's rotation

  • D. E. Smylie, G.K.C. Clarke, T. J. Ulrych
  • Methods in Computational 1976, respectively…
  • 1976
2 Excerpts

Notes on maximum entropy spectral analysis

  • J. G. Ables
  • Astron. the B.S. (with distinction), M.S. and Ph…
  • 1974
2 Excerpts

Principles of Optics. Oxford: Pergamon is responsible for evaluating electronic systems tests. Press, 1970. Dr. D'Addario is a member ofTau Beta Pi, Sigma Xi, and Eta Kappa

  • M. Born, E. Wolf
  • 1970
1 Excerpt

A new analysis technique for time series data

  • J. P. Burg
  • presented at NATO Adv. Study Inst. on Signal…
  • 1968
1 Excerpt

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