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Impulsive Noise Removal from Color Images with Morphological Filtering

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Book cover Analysis of Images, Social Networks and Texts (AIST 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10716))

Abstract

This paper deals with impulse noise removal from color images. The proposed noise removal algorithm employs a novel approach with morphological filtering for color image denoising; that is, detection of corrupted pixels and removal of the detected noise by means of morphological filtering. With the help of computer simulation we show that the proposed algorithm can effectively remove impulse noise. The performance of the proposed algorithm is compared in terms of image restoration metrics and processing speed with that of common successful algorithms.

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Acknowledgements

The work was supported by the Ministry of Education and Science of Russian Federation, grant 2.1743.2017.

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Authors and Affiliations

  1. Department of Mathematics, Chelyabinsk State University, Chelyabinsk, Russia

    Alexey Ruchay & Vitaly Kober

Authors
  1. Alexey Ruchay
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  2. Vitaly Kober
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Corresponding author

Correspondence to Alexey Ruchay .

Editor information

Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Wil M.P. van der Aalst

  2. National Research University Higher School of Economics, Moscow, Russia

    Dmitry I. Ignatov

  3. Krasovsky Institute of Mathematics and Mechanics, Ekaterinburg, Russia

    Michael Khachay

  4. National Research University Higher School of Economics, Moscow, Russia

    Sergei O. Kuznetsov

  5. Skolkovo Institute of Science and Technology, Moscow, Russia

    Victor Lempitsky

  6. National Research University Higher School of Economics, Moscow, Russia

    Irina A. Lomazova

  7. Moscow State University, Moscow, Russia

    Natalia Loukachevitch

  8. LORIA, Campus Scientifique, Vandœuvre lès Nancy, France

    Amedeo Napoli

  9. University of Hamburg, Hamburg, Germany

    Alexander Panchenko

  10. University of Florida, Gainesville, Florida, USA

    Panos M. Pardalos

  11. National Research University Higher School of Economics, Nizhny Novgorod, Russia

    Andrey V. Savchenko

  12. Indiana University, Bloomington, Indiana, USA

    Stanley Wasserman

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Ruchay, A., Kober, V. (2018). Impulsive Noise Removal from Color Images with Morphological Filtering. In: van der Aalst, W., et al. Analysis of Images, Social Networks and Texts. AIST 2017. Lecture Notes in Computer Science(), vol 10716. Springer, Cham. https://doi.org/10.1007/978-3-319-73013-4_26

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  • DOI: https://doi.org/10.1007/978-3-319-73013-4_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73012-7

  • Online ISBN: 978-3-319-73013-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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