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Computational Vision and Robotics pp 135–143Cite as

Comparative Analysis of Image Deblurring with Radial Basis Functions in Artificial Neural Network

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 332))

Abstract

Radial basis functions are used in many fields of mathematics and image analysis. In this paper, we have used linear RBF, cubic RBF, multi-quadratic RBF, inverse multi-quadratic RBF and Gaussian RBF for the reconstruction of blurred images. Simulations and mathematical comparisons show that Gaussian RBF gives better result with respect to the other RBF methods for images reconstruction in artificial neural network.

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Acknowledgements

The authors are so grateful to the anonymous referee for a careful checking of the details and for helpful comments and suggestions that improve this paper.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Agartala, Agartala, India

    Abhisek Paul, Paritosh Bhattacharya & Prantik Biswas

  2. Department of Information Technology, Bengal Engineering and Science University, Shibpur, India

    Santi Prasad Maity

Authors
  1. Abhisek Paul
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  2. Paritosh Bhattacharya
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  3. Prantik Biswas
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  4. Santi Prasad Maity
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Corresponding author

Correspondence to Abhisek Paul .

Editor information

Editors and Affiliations

  1. Department of Computer Science & Engineering, Oakland University, Rochester, Michigan, USA

    Ishwar K. Sethi

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© 2015 Springer India

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Paul, A., Bhattacharya, P., Biswas, P., Maity, S.P. (2015). Comparative Analysis of Image Deblurring with Radial Basis Functions in Artificial Neural Network. In: Sethi, I. (eds) Computational Vision and Robotics. Advances in Intelligent Systems and Computing, vol 332. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2196-8_16

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  • DOI: https://doi.org/10.1007/978-81-322-2196-8_16

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2195-1

  • Online ISBN: 978-81-322-2196-8

  • eBook Packages: EngineeringEngineering (R0)

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