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Fast Modified Vector Median Filter

  • Conference paper
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Computer Analysis of Images and Patterns (CAIP 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2124))

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Abstract

A new filtering approach designed to eliminate impulsive noise in color images, while preserving fine image details is presented in this paper. The computational complexity of the new filter is significantly lower than that of the Vector Median Filter. The comparison shows that the new filter outperforms the VMF, as well as other standard procedures used in color image processing, when the impulse noise is to be eliminated.

This work was partially supported by KBN grant 8-T11E-013-19

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© 2001 Springer-Verlag Berlin Heidelberg

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Smolka, B., Szczepanski, M., Plataniotis, K.N., Venetsanopoulos, A.N. (2001). Fast Modified Vector Median Filter. In: Skarbek, W. (eds) Computer Analysis of Images and Patterns. CAIP 2001. Lecture Notes in Computer Science, vol 2124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44692-3_69

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  • DOI: https://doi.org/10.1007/3-540-44692-3_69

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42513-7

  • Online ISBN: 978-3-540-44692-7

  • eBook Packages: Springer Book Archive

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