A Median Filtering Algorithm Based on Extremum Detection

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Abstract:

In this paper a improved algorithm of median filtering based on extremum detection is introduced. According to the deficiencies of the extreme median filtering method in the two stages of noise detection and noise filtering, Adds a false detection noise pixel gray value correction recovery process. Experimental results show that the algorithm in this paper are superior than traditional median filtering algorithm and some improved image filtering algorithm in noise removal and edge retention.

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Periodical:

Advanced Materials Research (Volumes 889-890)

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1099-1102

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Russo Fabrizio. Impulse noise cancellation in image data using a two-output nonlinear filter[J], Measurment: Journal of the International Measurement Confederation, 2004, 36(3-4): 205-213.

DOI: 10.1016/j.measurement.2004.09.002

Google Scholar

[2] Adrian Burian, Pauli Kuosmanen. Turning the Smoothness of the Recursive Median Filter[J], IEEE Trans on Signal Processing, 2002, 50(7): 1631-1639.

DOI: 10.1109/tsp.2002.1011204

Google Scholar

[3] H. K . Kwan. Fuzzy filters for noisy image filtering. Circuits and Systems[A], ISCAS '03. Proceedingsof the 2003 International Symposium[C], 2003, 4(5): 25-28.

DOI: 10.1109/iscas.2003.1205798

Google Scholar

[4] Senel Hakan Guray, Peters II Richard Alan, Dawant Benoit. Topological Median filter[J], IEEE Transactions on Image Processing, 2002, 11(2): 89-104.

DOI: 10.1109/83.982817

Google Scholar

[5] Chang S G. Yu B, Vetterli M. Adaptive wavelet thresholding for image denoising and compression[J], IEEE Trans Image Processing, 2004, 9(9): 1532-1546.

DOI: 10.1109/83.862633

Google Scholar

[6] Wang Z, Zhang D. Progressive switching median filter for the removal of impulse noise from highly corrupted images[J], IEEE Transacions on Circuits and Systems-II: Analog and Digital Signal Processing, 2002, 46(1): 78-80.

DOI: 10.1109/82.749102

Google Scholar

[7] Xu H X, Zhu G X, Peng H Y, et al. Adapative fuzzy switching filter for images corrupted by impulse noise[J], Pattem Recognition Letters, 2004, 25(15): 1657-1663.

DOI: 10.1016/j.patrec.2004.05.025

Google Scholar