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A Criterion of Noisy Images Quality

  • Conference paper
Advanced Concepts for Intelligent Vision Systems (ACIVS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6474))

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Abstract

This work describes an objective criterion of quality estimation of fine details in the noisy images in the normalized equal color space. Comparison with the standard PSNR criterion is presented for noisy images.

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References

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Author information

Authors and Affiliations

  1. Pacific National University, Tikhookeanskaya str. 136, Khabarovsk, Russia, 680035

    Sergey V. Sai, Ilya S. Sai & Nikolay Yu. Sorokin

Authors
  1. Sergey V. Sai
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  2. Ilya S. Sai
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  3. Nikolay Yu. Sorokin
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Editor information

Editors and Affiliations

  1. DGA/D4S/MRIS, CEP/GIP, 16 bis avenue Prieur de la côte d’or, 94114, Arcueil, France

    Jacques Blanc-Talon

  2. Canon Information Systems Research Australia, Sydney, Australia

    Don Bone

  3. Telecommunications and Information processing (TELIN), Ghent University, St.-Pietersnieuwstraat 41, B9000, Ghent, Belgium

    Wilfried Philips

  4. CSIRO ICT Centre, ICT Centre, Po Box 76, NSW 1710, Epping, Sydney, Australia

    Dan Popescu

  5. Physics, University of Antwerp, Universiteitsplein 1; Building N. 2610, Wilrijk, Belgium

    Paul Scheunders

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© 2010 Springer-Verlag Berlin Heidelberg

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Sai, S.V., Sai, I.S., Sorokin, N.Y. (2010). A Criterion of Noisy Images Quality. In: Blanc-Talon, J., Bone, D., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2010. Lecture Notes in Computer Science, vol 6474. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17688-3_1

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  • DOI: https://doi.org/10.1007/978-3-642-17688-3_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17687-6

  • Online ISBN: 978-3-642-17688-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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