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Symmetry-Group Justification of Maximum Entropy Method and Generalized Maximum Entropy Methods in Image Processing

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Maximum Entropy and Bayesian Methods

Part of the book series: Fundamental Theories of Physics ((FTPH,volume 98))

Abstract

Maximum entropy method and its generalizations are very useful in image processing. In this paper, we show that these methods naturally follow from reasonable symmetry requirements.

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References

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Texas at El Paso, El Paso, TX, 79968, USA

    O. Kosheleva

Authors
  1. O. Kosheleva
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Editor information

Editors and Affiliations

  1. Department of Electronical Engineering, Boise State University, Boise, Idaho, USA

    Gary J. Erickson  & Joshua T. Rychert  & 

  2. Fayetteville, Tennessee, USA

    C. Ray Smith

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© 1998 Springer Science+Business Media Dordrecht

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Kosheleva, O. (1998). Symmetry-Group Justification of Maximum Entropy Method and Generalized Maximum Entropy Methods in Image Processing. In: Erickson, G.J., Rychert, J.T., Smith, C.R. (eds) Maximum Entropy and Bayesian Methods. Fundamental Theories of Physics, vol 98. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5028-6_8

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  • DOI: https://doi.org/10.1007/978-94-011-5028-6_8

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6111-7

  • Online ISBN: 978-94-011-5028-6

  • eBook Packages: Springer Book Archive

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