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Noise Estimation for Computer-Generated Images Using an Interval Type-2 Fuzzy Sets Filter

  • Conference paper
Intelligent Systems'2014

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 323))

Abstract

Global illumination methods based on stochastic techniques provide photo-realistic images. However, they are prone to stochastic noise that can be reduced by increasing the number of paths as proved by Monte Carlo theory. The problem of finding the number of paths that are required in order to ensure that human observers cannot perceive any noise is still open. This paper proposes a new noise estimator, based on interval type-2 fuzzy sets (IT2 FSs) and devoted to computer-generated images. This model can then be used in any progressive stochastic global illumination method in order to estimate the noise level of different parts of any image. A comparative study of this model with a simple test image demonstrates the good consistency between an added noise value and the results from the noise estimator. The proposed noise estimator results have been too compared with full-reference quality measures (or faithfullness measures) like SSIM and gives satisfactory performance.

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Author information

Authors and Affiliations

  1. LISIC, Université Lille Nord-de-France, Calais Cedex, 62228, France

    Samuel Delepoulle, Andre Bigand & Christophe Renaud

Authors
  1. Samuel Delepoulle
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  2. Andre Bigand
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  3. Christophe Renaud
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Editor information

Editors and Affiliations

  1. Ford Motor Company, Research & Advanced Engineering, Dearborn, Mississippi, USA

    D. Filev

  2. Industrial Research Institute for Automation and Measurements (PIAP), Warsaw, Poland

    J. Jabłkowski

  3. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    J. Kacprzyk

  4. Polish Academy of Sciences and WIT - Warsaw School of Information Technology, Systems Research Institute, Warsaw, Poland

    M. Krawczak

  5. Bulgarian Academy of Sciences, Institute of Information and Communication, Sofia, Bulgaria

    I. Popchev

  6. Department of Computer Engineering, Częstochowa University of Technology, Częstochowa, Poland

    L. Rutkowski

  7. Bulgarian Academy of Sciences, Institute of Information and Communication Technologies, Sofia, Bulgaria

    V. Sgurev

  8. Department of Computer and Information Technologies, “Prof. Assen Zlatarov" University Faculty of Technical Sciences, Bourgas, Bulgaria

    E. Sotirova

  9. Industrial Research Institute for Automation and Measurements (PIAP), Warsaw, Poland

    P. Szynkarczyk

  10. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    S. Zadrozny

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Delepoulle, S., Bigand, A., Renaud, C. (2015). Noise Estimation for Computer-Generated Images Using an Interval Type-2 Fuzzy Sets Filter. In: Filev, D., et al. Intelligent Systems'2014. Advances in Intelligent Systems and Computing, vol 323. Springer, Cham. https://doi.org/10.1007/978-3-319-11310-4_53

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  • DOI: https://doi.org/10.1007/978-3-319-11310-4_53

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11309-8

  • Online ISBN: 978-3-319-11310-4

  • eBook Packages: EngineeringEngineering (R0)

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