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On the Adaptive Impulsive Noise Attenuation in Color Images

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Image Analysis and Recognition (ICIAR 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4141))

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Abstract

In this paper a novel method of impulsive noise suppression in color images is described. The new approach is based on a soft-switching scheme, whose output is the weighted average of the central pixel and the vector median of the local filtering window. The noise detection component of the switching filtering framework is based on the difference between accumulated distances assigned to the vector median of the local data and the central pixel in the filtering mask. The results of simulations performed on a set of test images show that the proposed method is capable of reducing even strong impulsive noise while retaining the image structures.

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Author information

Authors and Affiliations

  1. Department of Automatic Control, Silesian University of Technology, Akademicka 16 Str, 44-100, Gliwice, Poland

    Bogdan Smolka

Authors
  1. Bogdan Smolka
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Editor information

Editors and Affiliations

  1. Departamento de Engenharia Electrotécnica e de Computadores da, Faculdade de Engenharia da, Universidade do Porto, Campus FEUP, 4200-465, Porto, Portugal

    Aurélio Campilho

  2. Electrical and Computer Engineering Department, University of Waterloo,  

    Mohamed S. Kamel

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© 2006 Springer-Verlag Berlin Heidelberg

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Smolka, B. (2006). On the Adaptive Impulsive Noise Attenuation in Color Images. In: Campilho, A., Kamel, M.S. (eds) Image Analysis and Recognition. ICIAR 2006. Lecture Notes in Computer Science, vol 4141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11867586_29

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  • DOI: https://doi.org/10.1007/11867586_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44891-4

  • Online ISBN: 978-3-540-44893-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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