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No-Reference Image Quality Assessment for Iris Biometrics

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Image Processing and Communications Challenges 4

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 184))

Summary

No-reference image quality assessment (NRIQA) methods estimate image quality degradations without any information about the “perfect-quality” reference image. In this paper, we propose an NRIQA algorithm based on the idea of comparison two blurred variants of the original image to be estimated.

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References

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Authors and Affiliations

  1. Department of Medical Informatics, Institute of Computer Science, University of Białystok, Sosnowa 64, 15-887, Białystok, Poland

    Valery Starovoitov, Agnieszka Kitlas Golińska, Anna Predko-Maliszewska & Maciej Goliński

Authors
  1. Valery Starovoitov
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  2. Agnieszka Kitlas Golińska
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  3. Anna Predko-Maliszewska
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  4. Maciej Goliński
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Corresponding author

Correspondence to Valery Starovoitov .

Editor information

Editors and Affiliations

  1. , Institute of Telecommunications, University of Technology & Life Sciences, ul.S.Kaliskiego 7, Bydgoszcz, 85-791, Poland

    Ryszard S. Choraś

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Starovoitov, V., Golińska, A.K., Predko-Maliszewska, A., Goliński, M. (2013). No-Reference Image Quality Assessment for Iris Biometrics. In: Choraś, R. (eds) Image Processing and Communications Challenges 4. Advances in Intelligent Systems and Computing, vol 184. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32384-3_12

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  • DOI: https://doi.org/10.1007/978-3-642-32384-3_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32383-6

  • Online ISBN: 978-3-642-32384-3

  • eBook Packages: EngineeringEngineering (R0)

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