DocumentCode :
1416634
Title :
Adaptive impulse detection using center-weighted median filters
Author :
Chen, Tao ; Wu, Hong Ren
Author_Institution :
Sch. of Comput. Sci & Software Eng., Monash Univ., Clayton, Vic., Australia
Volume :
8
Issue :
1
fYear :
2001
Firstpage :
1
Lastpage :
3
Abstract :
Previous median-based impulse detection strategies tend to work well for fixed-valued impulses but poorly for random-valued impulse noise, or vice versa. This letter devises a novel adaptive operator, which forms estimates based on the differences between the current pixel and the outputs of center-weighted median (CWM) filters with varied center weights. Extensive simulations show that the proposed scheme consistently works well in suppressing both types of impulses with different noise ratios.
Keywords :
adaptive filters; image processing; impulse noise; interference suppression; median filters; adaptive impulse detection; adaptive operator; center-weighted median filters; fixed-valued impulses; image processing; noise suppression; random-valued impulse noise; Adaptive filters; Attenuation; Detectors; Filtering; Helium; Image processing; Jitter; Nonlinear distortion; Pixel; Signal to noise ratio;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/97.889633
Filename :
889633
Link To Document :
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