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.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Gonzales, C., Woods, E.: Digital Image Processing. Prentice-Hall, Englewood Cliffs (2002)
Ko, S.-J., Lee, Y.-H.: Center weighted median filters and their applications to image enhancement. IEEE Trans. Circuits Syst. 38, 984–993 (1991)
Sun, T., Neuvo, Y.: Detail-preserving median based filters in image processing. Pattern Recognit. Lett. 15, 341–347 (1994)
Chen, T., Ma, K.-K., Chen, L.-H.: Tri-state median filter for image denoising. IEEE Trans. Image Processing 8, 1834–1838 (1999)
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)
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)
Chen, T., Wu, H.R.: Adaptive impulse detection using center-weighted median filters. IEEE Signal Processing Lett. 8, 1–3 (2001)
Crnojevic, V., Senk, V., Trpovski, Z.: Advanced Impulse Detection Based on Pixel-Wise MAD. IEEE Signal processing letters 11(7) (July 2004)
Koza, J.R.: Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge (1992)
Huber, P.: Robust Statistics. Wiley, New York (1981)
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)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights 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)