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Using of EM Algorithm to Image Reconstruction Problem with Tomography Noises

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Image Processing and Communications Challenges 5

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 233))

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Summary

This paper describes an analytical iterative approach to the problem of image reconstruction from parallel projections using Expectation Minimization algorithm. The experiments with noisy measurements have shown that EM algorithm can deblur the reconstructed image. The achieved results confirm that designed reconstruction procedure is able to reconstruct an image with better quality than image obtained using the traditional back-projection algorithm.

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References

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Author information

Authors and Affiliations

  1. Institute of Computational Intelligence, Czestochowa University of Technology, Armii Krajowej 36, 42-200, Czestochowa, Poland

    Piotr Dobosz & Robert Cierniak

Authors
  1. Piotr Dobosz
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  2. Robert Cierniak
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Corresponding author

Correspondence to Piotr Dobosz .

Editor information

Editors and Affiliations

  1. Life Sciences, Institute of Telecommunications, University of Technology, ul.S.Kaliskiego 7, Bydgoszcz, 85791, Poland

    Ryszard S. Choras

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Dobosz, P., Cierniak, R. (2014). Using of EM Algorithm to Image Reconstruction Problem with Tomography Noises. In: S. Choras, R. (eds) Image Processing and Communications Challenges 5. Advances in Intelligent Systems and Computing, vol 233. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-01622-1_5

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  • DOI: https://doi.org/10.1007/978-3-319-01622-1_5

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-01621-4

  • Online ISBN: 978-3-319-01622-1

  • eBook Packages: EngineeringEngineering (R0)

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