Abstract
This paper proposes an efficient switching median filter to restore digital images corrupted by high density of random valued impulse noises. The noise detection is performed using all neighbor directional weighted pixels in the 5 x 5 window. Arithmetic absolute differences and intensity of the center pixel is compared with other pixels in the test window to define a noisy pixel. To restore the noisy pixel variable window based median filtering has been done. Particle swarm optimization(PSO), a recent stochastic global optimization technique has been adopted to obtain best fitted parameters of the proposed detection and filtering operators. Simulation results, conducted on a variety of gray scale images clearly exhibit that the proposed operator obtains better results compared to existing directional weighted filters.
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References
Swarmintelligence, http://www.swarmintelligence.org/ (accessed on August 25, 2011)
Abreu, E., Lightstone, M., Mitra, S.K., Arakawa, K.: A new efficient approach for the removal of impulse noise from highly corrupted images. IEEE Transactions on Image Processing 5(6), 1012–1025 (1996)
Brownrigg, D.R.K.: The weighted median filter. Communications of the ACM 27(8), 807–818 (1984)
Chen, T., Ma, K., Chen, L.: Tri- state median filter for image de noising. IEEE Transaction Image Processing 8(12), 1834–1838 (1999)
Chen, T., Wu, H.R.: Adaptive impulse detection using center weighted median filters. IEEE Signal Processing Letters 8(1), 1–3 (2001)
Chen, T., Wu, H.R.: Space variant median filters for the restoration of impulse noise corrupted images. IEEE Transactions on Circuits and Systems-II: Analog and Digital Signal Processing 48(8), 784–789 (2001)
Crnojevic, V., Senk, V., Trpovski, Z.: Advanced impulse detection based on pixel- wise mad. IEEE Signal Processing Letters 11(7), 589–592 (2004)
Dong, Y., Xu, S.: A new directional weighted median filter for removal of random - valued impulse noise. IEEE Signal Processing Letters 14(3), 193–196 (2007)
Forouzan, A.R., Araabi, B.: Iterative median filtering for restoration of images with impulsive noise. Electronics, Circuits and Systems 1, 232–235 (2003)
Gonzalez, R.C.: Woods: Digital image processing, 2nd edn. Pearson Prentice-Hall (2002)
Ko, S.J., Lee, Y.H.: Center weighted median filters and their applications to image enhancement. IEEE Transactions on Circuits and Systems 38(9), 984–993 (2001)
Kong, H., Guan, L.: A neural network adaptive filter for the removal of impulse noise in digital images. Neural Networks Letters 9(3), 373–378 (1996)
Mandal, J.K., Sarkar, A.: A novel modified directional weighted median based filter for removal of random valued impulse noise. In: International Symposium on Electronic System Design (ISED), pp. 230–234 (December 2010)
Mandal, J.K., Sarkar, A.: A modified weighted based filter for removal of random impulse noise. In: Second International Conference on Emerging Applications of Information Technology, pp. 173–176 (February 2011)
Russo, F., Ramponi, G.: A fuzzy filter for images corrupted by impulse noise. IEEE Signal Processing Letter 3, 168–170 (1996)
Sa, P.K., Dash, R., Majhi, B.: Second order difference based detection and directional weighted median filter for removal of random valued impulsive noise. IEEE Signal Processing Letters, 362–364 (December 2009)
Wang, Z., Zhang, D.: Progressive switching median filter for the removal of impulse noise from highly corrupted images. IEEE Transactions on Circuits and Systems 46(1), 78–80 (1999)
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Mandal, J.K., Mukhopadhyay, S. (2012). PSO Based Edge Keeping Suppression of Impulses in Digital Imagery. In: Satapathy, S.C., Avadhani, P.S., Abraham, A. (eds) Proceedings of the International Conference on Information Systems Design and Intelligent Applications 2012 (INDIA 2012) held in Visakhapatnam, India, January 2012. Advances in Intelligent and Soft Computing, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27443-5_45
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DOI: https://doi.org/10.1007/978-3-642-27443-5_45
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