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Pixon-Based Multiresolution Image Reconstruction and Quantification of Image Information Content

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Maximum Entropy and Bayesian Methods

Part of the book series: Fundamental Theories of Physics ((FTPH,volume 79))

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Abstract

This paper describes the theory of pixon-based image reconstruction. After a brief introduction of the basic concepts of the pixon, the paper concentrates primarily on our current implementation of the techniques along with the approximations and shortcuts that seem to provide practical software algorithms. We then present an example of application of the method to astrophysical data, i.e. imaging of the Einstein ring in the gravitational lens of FSC 10214+4724.

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References

  1. Piña, R.K., and Puetter, R.C. (1993) Bayesian Image Reconstruction: The Pixon and Optimal Image Modeling, P.A.S.P., 105, pp. 630–637

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Author information

Authors and Affiliations

  1. Center for Astrophysics and Space Sciences, University of California, San Diego 9500 Gilman Drive, La Jolla, CA, 92093-0111, USA

    R. C. Puetter

Authors
  1. R. C. Puetter
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Editor information

Editors and Affiliations

  1. Dynamic Experimentation Division, Los Alamos National Laboratory, Los Alamos, New Mexico, USA

    Kenneth M. Hanson

  2. Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, USA

    Richard N. Silver

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© 1996 Springer Science+Business Media Dordrecht

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Puetter, R.C. (1996). Pixon-Based Multiresolution Image Reconstruction and Quantification of Image Information Content. In: Hanson, K.M., Silver, R.N. (eds) Maximum Entropy and Bayesian Methods. Fundamental Theories of Physics, vol 79. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5430-7_17

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  • DOI: https://doi.org/10.1007/978-94-011-5430-7_17

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6284-8

  • Online ISBN: 978-94-011-5430-7

  • eBook Packages: Springer Book Archive

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