Skip to main content
SpringerLink
Log in

Evolutionary Tree-Structured Filter for Impulse Noise Removal

  • Conference paper
Book cover Advanced Concepts for Intelligent Vision Systems (ACIVS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4179))

Abstract

A new evolutionary approach for construction of uniform impulse noise filter is presented. Genetic programming is used for combining the basic image transformations and filters into tree structure, which can accurately estimate noise map. Proposed detector is employed for building switching-scheme filter, where recursively implemented α-trimmed mean is used as the estimator of corrupted pixel values. The proposed evolutionary filtering structure shows very good results in removal of uniform impulse noise, for wide range of noise probabilities and different test images.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Gonzales, C., Woods, E.: Digital Image Processing. Prentice-Hall, Englewood Cliffs (2002)

    Google Scholar 

  2. Ko, S.-J., Lee, Y.-H.: Center weighted median filters and their applications to image enhancement. IEEE Trans. Circuits Syst. 38, 984–993 (1991)

    Article  Google Scholar 

  3. Sun, T., Neuvo, Y.: Detail-preserving median based filters in image processing. Pattern Recognit. Lett. 15, 341–347 (1994)

    Article  Google Scholar 

  4. Chen, T., Ma, K.-K., Chen, L.-H.: Tri-state median filter for image denoising. IEEE Trans. Image Processing 8, 1834–1838 (1999)

    Article  Google Scholar 

  5. Abreu, E., Lightstone, M., Mitra, S.K., Arakawa, K.: A new efficient approach for the removal of impulse noise from highly corrupted images. IEEE Trans. Image Processing 5, 1012–1025 (1996)

    Article  Google Scholar 

  6. Pok, G., Liu, J.-C., Nair, A.S.: Selective removal of impulse noise based on homogeneity level information. IEEE Trans. Image Processing 12, 85–92 (2003)

    Article  Google Scholar 

  7. Chen, T., Wu, H.R.: Adaptive impulse detection using center-weighted median filters. IEEE Signal Processing Lett. 8, 1–3 (2001)

    Article  Google Scholar 

  8. Crnojevic, V., Senk, V., Trpovski, Z.: Advanced Impulse Detection Based on Pixel-Wise MAD. IEEE Signal processing letters 11(7) (July 2004)

    Google Scholar 

  9. Koza, J.R.: Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge (1992)

    MATH  Google Scholar 

  10. Huber, P.: Robust Statistics. Wiley, New York (1981)

    Book  MATH  Google Scholar 

  11. Nodes, T.A., Gallagher Jr., N.C.: Median filters: Some modifications and their properties. IEEE Trans. Acoust., Speech, Signal Processing ASSP-30, 739–746 (1982)

    Article  Google Scholar 

  12. Aoki, S., Nagao, T.: Automatic Construction of Tree-structural Image Transformation using Genetic Programming. In: Proceedings of the 1999 International Conference on Image Processing (ICIP 1999), vol. 1, pp. 529–533 (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dept. of Telecommunications and Information Processing (TELIN), IPI, Ghent University, Sint-Pietersnieuwstraat 41, B-9000, Gent, Belgium

    Nemanja I. Petrović

  2. Faculty of Engineering, Trg Dositeja Obradovića 6, 21000, Novi Sad, Serbia

    Vladimir S. Crnojević

Authors
  1. Nemanja I. Petrović
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vladimir S. Crnojević
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. DGA/D4S/MRIS, 94114, Arcueil, France

    Jacques Blanc-Talon

  2. Ghent University, 9000, Gent, Belgium

    Wilfried Philips

  3. CSIRO ICT Centre, 1710, Sydney, NSW, Australia

    Dan Popescu

  4. University of Antwerp, 2610, Wilrijk, Belgium

    Paul Scheunders

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Petrović, N.I., Crnojević, V.S. (2006). Evolutionary Tree-Structured Filter for Impulse Noise Removal. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2006. Lecture Notes in Computer Science, vol 4179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11864349_10

Download citation

  • DOI: https://doi.org/10.1007/11864349_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44630-9

  • Online ISBN: 978-3-540-44632-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation