Tuan-anh NGUYEN, Won-seon SONG, Min-cheol HONG
School of Electronics Engineering, Soongsil University, Seoul 156 -743, Korea
Abstract-In this paper, an adaptive noise detection and remova l algorithm using local statistics for salt-and-pepper noise are proposed. In order to determine constraints for noise detection, the local mean, variance, an d maximum value are used. In addition, a weighted median filter is employed to r emove the detected noise. The simulation results show the capability of the prop osed algorithm removes the noise effectively.
Key words-noise detection; removal; local statistics; s alt-and-pepper noise
Manuscript Number: 1674-8042(2010)04-0323-03
dio: 10.3969/j.issn.1674-8042.2010.04.05
References
[1]Gonzalo R. Arce, 2004. Nonlinear signal processing: a statistical ap proach. John Wiley & Sons, Inc., Hoboken, New Jersey.
[2]T. A. Nodes, N. C. Gallagher, 1982. Median filters: some modificatio ns and their properties. IEEE Trans. Acoustics, Speech and Signal Proc essing, ASSP30, (5): 739-746.
[3]R. Yang, L. Lin, M. Gabbouj, J. Astola, Y. Neuvo, 1995. Optimal weig hted median filters under structural constrains. IEEE Trans. Signal Pr ocessing, 43: 591-604.
[4]T. Song, M. Gabbouj, Y. Neuvo, 1994. Center weighted median filters: some properties and applications in image processing. Signal Processi ng, 35(3): 213-229.
[5]J. B. Bednar, T. K. Watt. Alpha-trimmed means and their relationshi p to median filter. IEEE Trans. on Acoustics, Speech and Signal Proces sing, 32: 145-153.
[6]Z. Wang, D. Zang, 1999. Progressive switching median filter for remo val of impulse noise from highly corrupted images. IEEE Trans., Circui ts System Ⅱ, 46(1): 78-80.
[7]K. S. Srinivasan, D. Ebenezer, 2007. A new fast and efficient decis ion-based algorithm for removal of high-density impulse noises. IEEE Signal Processing Letters, 14(3): 189-192.
[8]J. R. Mohammed, 2008. An Improved Median Filter Based on Efficient N oise Detdection for High Quality Image Restoration. AICMS, Modeling & Simulation , p. 217-331.
[9]M. S. Nair, K. Revathy, R. Tatavarti, 2008. An Improved Decision-ba sed Algorithm for Impulse Noise Removal. CISP, Image and Signal Processing, p. 4 26-431.
[full text view]