Abstract
This paper proposes a new efficient directional weighted median filter for impulse noise removal in medical images. The proposed method consists of two phases: noise detection and noise filtering. In this method, detection is done by Directional Weighted Median (DWM) detection [1], and filtering is applied to only corrupted pixels in the noisy image. The noise detection stage is based on the differences between the current pixel and its neighbours aligned in the main four directions in the considered window. The weighted median filter is then applied on directional pixel values as well as on uncorrupted pixels in the selected window by giving appropriate weights for the better restoration of corrupted medical images. Extensive experimental analysis shows that the proposed technique can be used for medical images with different impulse type noises. Both quantitative and qualitative analysis shows the superiority of the proposed method over other filters.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Dong, Y., Xu, S.: A New Directional Weighted Median Filter for Removal of Random-Valued Impulse Noise. IEEE Signal Process Lett. 14(3), 193–196
Toprak, A., Güler, I.: Impulse noise reduction in medical images with the use of switch mode fuzzy adaptive median filter. Digital Signal Processing 17, 711–723 (2007)
Pratt, W.K.: Digital Image Processing. John Wiley & Sons, Chichester (1978)
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 Process. 5, 1012–1025 (1992)
Eng, H.-L., Ma, K.-K.: Noise adaptive soft-switching median filter. IEEE Trans. Image Process. 10(2), 242–251 (2001)
Zhang, S., Karim, M.A.: A new impulse detector for switching median filters. IEEE Signal Processing Letters 9(4), 360–363 (2002)
Wang, Z., Zhang, D.: Progressive switching median filter for the removal of impulse noise from highly corrupted images. IEEE Transactions on Circuits System II 46(1), 78–80 (1999)
Nair, M.S., Raju, G.: A new fuzzy-based decision algorithm for high-density impulse noise removal. Signal Image and Video Processing, doi:10.1007/s11760-010-0186-4
Hussain, A., Arfan Jaffar, M., Mirza, A.M.: A hybrid image restoration approach: fuzzy logic and directional weighted median based uniform impulse noise removal. Springer-Verlag London Limited, Heidelberg (2009)
Wang, Z., Bovik, A.C.: A universal image quality index. IEEE Signal Process. Lett. 9(3), 81–84 (2002)
Nair, M.S., Revathy, K., Tatavarti, R.: An Improved Decision-Based Algorithm for Impulse Noise Removal. In: International Congress on Image and Signal Processing - CISP 2008, vol. 1, pp. 426–431. IEEE Computer Society Press, Los Alamitos (2008), doi:10.1109/CISP.2008.21
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Nair, M.S., Reji, J. (2011). An Efficient Directional Weighted Median Switching Filter for Impulse Noise Removal in Medical Images. In: Abraham, A., Mauri, J.L., Buford, J.F., Suzuki, J., Thampi, S.M. (eds) Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science, vol 192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22720-2_28
Download citation
DOI: https://doi.org/10.1007/978-3-642-22720-2_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22719-6
Online ISBN: 978-3-642-22720-2
eBook Packages: Computer ScienceComputer Science (R0)