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A Type-2 Fuzzy Logic Filter for Detail-Preserving Restoration of Digital Images Corrupted by Impulse Noise

  • Conference paper
Advanced Concepts for Intelligent Vision Systems (ACIVS 2007)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4678))

Abstract

A novel filtering operator based on type-2 fuzzy logic is proposed for detail preserving restoration of images corrupted by impulse noise. The performance of the proposed operator is evaluated for different test images corrupted at various noise densities and also compared with representative impulse noise removal operators from the literature. Results of the filtering experiments show that the presented operator offers superior performance over the competing operators by efficiently suppressing the noise in the image while at the same time effectively preserving the useful information in the image.

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Author information

Authors and Affiliations

  1. Department of Aircraft Electrical and Electronics, Civil Aviation School, Erciyes University, Kayseri, 38039, Turkey

    M. Tülin Yildirim

  2. Digital Signal and Image Processing Laboratory, Department of Electrical and Electronics Engineering, Erciyes University, Kayseri, 38039, Turkey

    M. Emin Yüksel

Authors
  1. M. Tülin Yildirim
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  2. M. Emin Yüksel
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Editor information

Jacques Blanc-Talon Wilfried Philips Dan Popescu Paul Scheunders

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© 2007 Springer-Verlag Berlin Heidelberg

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Yildirim, M.T., Yüksel, M.E. (2007). A Type-2 Fuzzy Logic Filter for Detail-Preserving Restoration of Digital Images Corrupted by Impulse Noise. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2007. Lecture Notes in Computer Science, vol 4678. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74607-2_44

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  • DOI: https://doi.org/10.1007/978-3-540-74607-2_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74606-5

  • Online ISBN: 978-3-540-74607-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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