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Adaptive Noise Detection and Removal Algorithm Using Local Statistics for Salt-and-Pepper Noise

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


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