Abstract
Removal of Mixed noise from digital color images is a challenging task because it requires processing of different types of noise. Also, noise need to be distinguished from the original image structures such as edges and details. Fuzzy theory is an effective solution to this problem. In this paper, a new fuzzy method is proposed to reduce impulse and Gaussian noise from color images. A weighted averaging filtering operation is used for this purpose. The weights in the averaging process are assigned using a fuzzy rule system based on a new certainty function, so as to reduce both noise types and to preserve image structures. Experimental results show that the method outperforms the state-of-the-art filters.
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References
K. N. Plataniotis and A. N. Venetsanopoulos, Color Image Processing and Applications. Berlin, Germany: Springer-Verlag, 2000.
R. Lukac, B. Smolka, K. Martin, K. N. Plataniotis, and A. N. Venetsanopoulos, “Vector filtering for color imaging,” IEEE Signal Process. Mag. Spec. Issue Color Imag. Process., vol. 22, no. 1, pp. 74–86, Jan. 2005.
R. Lukac and K. N. Plataniotis, “A taxonomy of color image filtering and enhancement solutions,” Adv. Imag. Electron Phys., vol. 140, pp. 187–264, 2006.
R. Garnett, T. Huegerich, C. Chui, andW. He, “A universal noise removal algorithm with an impulse detector,” IEEE Trans. Imag. Process., vol. 14, no. 11, pp. 1747–1754, Nov. 2005.
C. Tomasi and R. Manduchi, “Bilateral filter for gray and color images,” in Proc. IEEE Int. Conf. Comput. Vis., Jan. 1998, pp. 839–846.
M. Elad, “On the origin of bilateral filter and ways to improve it,” IEEE Trans. Imag. Process., vol. 11, no. 10, pp. 1141–1151, Oct. 2002.
C. H. Lin, J. S. Tsai, and C. T. Chiu, “Switching bilateral filter with texture/ noise detector for universal noise removal,” IEEE Trans. Imag. Process., vol. 19, no. 8, pp. 2307–2320, Sep. 2010.
K. N. Plataniotis,D.Androutsos, andA. N.Venetsanopoulos, “Multichannel filters for image processing,” Signal Process. Imag. Commun., vol. 9, no. 2, pp. 143–158, Jan. 1997.
K. N. Plataniotis, D. Androutsos, and A. N. Venetsanopoulos, “Adaptive fuzzy systems for multichannel signal processing,” Proc. IEEE, vol. 87, no. 9, pp. 1601–1622, Sep. 1999.
Z. Ma, H. R. Wu, and D. Feng, “Partition based vector filtering technique for suppression of noise in digital color images,” IEEE Trans. Imag. Process., vol. 15, no. 8, pp. 2324–2342, Aug. 2006.
Z. Ma, H. R.Wu, and D. Feng, “Fuzzy vector partition filtering technique for color image restoration,” Comput. Vis. Imag. Understanding, vol. 107, no. 1–2, pp. 26–37, Jul./Aug. 2007.
E. L´opez-Rubio, “Restoration of images corrupted by Gaussian and uniform impulsive noise,” Pattern Recog., vol. 43, no. 5, pp. 1835–1846, May 2010.
Joan-Gerard Camarena, Valent´ın Gregori, Samuel Morillas, and Almanzor Sapena, “A Simple Fuzzy Method to Remove Mixe Gaussian-Impulsive Noise From Color Images “,IEEE Trans. Imag. Process.,vol. 21, no. 5, October 2013.
J. G. Camarena, V. Gregori, S. Morillas, and A. Sapena, “Two-step fuzzy logic-based method for impulse noise detection in colour images,” Pattern Recog. Lett., vol. 31, no. 13, pp. 1842–1849, Oct. 2010.
K. Passino and S. Yurkovich, Fuzzy Control. Menlo Park, CA: Addison Wesley, 1998.
E. Cox, The Fuzzy Systems Handbook, 2nd ed. New York: Academic, 1999.
Eecs.berkeley.edu,(2015). [online] Available at: http://www.eecs.berkeley.edu/Research/Projects/CS/vision/bsds/BSDS300/html/dataset/images.html.
KODAK Test Images Database [Online]. Available: http://r0k.us/graphics/kodak/.
Acknowledgment
The authors are thankful to the graduate student Ms. Razana K M for her help in the simulation experiment.
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Jayasree, M., Narayanan, N.K. (2017). A Novel Fuzzy Filter for Mixed Impulse Gaussian Noise from Color Images. In: Lobiyal, D., Mohapatra, D., Nagar, A., Sahoo, M. (eds) Proceedings of the International Conference on Signal, Networks, Computing, and Systems. Lecture Notes in Electrical Engineering, vol 395. Springer, New Delhi. https://doi.org/10.1007/978-81-322-3592-7_6
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DOI: https://doi.org/10.1007/978-81-322-3592-7_6
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