No-Reference Image Quality Assessment for Iris Biometrics

  • Valery Starovoitov
  • Agnieszka Kitlas Golińska
  • Anna Predko-Maliszewska
  • Maciej Goliński
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 184)


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.


Iris Image Image Quality Assessment Motion Blur Gaussian Blur Image Quality Measure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Valery Starovoitov
    • 1
  • Agnieszka Kitlas Golińska
    • 1
  • Anna Predko-Maliszewska
    • 1
  • Maciej Goliński
    • 1
  1. 1.Department of Medical Informatics, Institute of Computer ScienceUniversity of BiałystokBiałystokPoland

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