Abstract
A fixed 3x3 window, Unsymmetrical trimmed midpoint is used as a detector for the detection of fixed valued impulse noise is proposed for the increasing noise densities. The processed pixel is termed as noisy, if the absolute difference between processed pixels and unsymmetrical trimmed midpoint is greater than fixed threshold. Under high noise densities the processed pixel is noisy, so the median of the ordered array is found. The median is checked using the above procedure. If found true then the computed median is considered as noisy hence the corrupted pixel is replaced by the Unsymmetrical Trimmed midpoint of the current processing window. If median is not noisy then replace the median of the current processing window else if the pixel is termed uncorrupted, it is left unaltered. The proposed algorithm (PA) is tested on different varying detail images. The proposed algorithm is compared with the standard algorithms and found to give good results both qualitative and quantitatively for increasing noise densities. The proposed algorithm eliminates salt and pepper noise up to 80% and preserves edges up to 70%.
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References
Pitas, I., Venetasanopoulos, A.N.: Non Linear Digital Filters: Principles and Applications. Kluwer, Boston (1990)
Astola, J., Kuosmanen, P.: Fundamentals of non linear digital filtering. CRC Press (1997)
Hwang, I.H., Hadded, R.A.: Adaptive Median filter: New algorithms and results. IEEE Transaction on image Processing 4(4), 499–502
Zhang, H.: Generalized Threshold Decomposition. Journal of Electronics 14(1) (January 1997)
Ko, S.-J., Lee, Y.-H.: Center weighted median filters and their applications to image enhancement. IEEE Trans. Circuits Syst. 38, 984–993 (1991)
Ng, P.E., Ma, K.K.: A switching median filter with boundary discriminative noise detection for extremely corrupted images. IEEE Transactions on Image Processing 15(6), 1506–1516 (2006)
Zhang, S., Karim, M.A.: A new impulse detector for switching median filters. IEEE Signal Processing Letters 9(11), 360–363 (2002)
Naif Alajlan, K., Kamel, M., Jernigan, E.: Detail Preserving impulse noise removal. International Journal on Signal Processing: Image Communication 19, 993–1003 (2004)
Bovik, A.: Handbook of Image and Video Processing. Academic Press (2000)
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© 2013 Springer-Verlag Berlin Heidelberg
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Vasanth, K., Jawahar Senthil Kumar, V., Elanangai, V. (2013). Unsymmetrical Trimmed Midpoint as Detector for Salt and Pepper Noise Removal. In: Meghanathan, N., Nagamalai, D., Chaki, N. (eds) Advances in Computing and Information Technology. Advances in Intelligent Systems and Computing, vol 177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31552-7_83
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DOI: https://doi.org/10.1007/978-3-642-31552-7_83
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31551-0
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