Adaptive impulse detection using center-weighted median filters

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-...

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Bibliographic Details
Published in:IEEE signal processing letters 2001-01, Vol.8 (1), p.1-3
Main Authors: Chen, T., Hong Ren Wu
Format: Article
Language:English
Subjects:
Adaptive filters
Attenuation
Detectors
Filtering
Helium
Image processing
Impulses
Jitter
Noise
Nonlinear distortion
Operators
Pixel
Pixels
Retarding
Signal to noise ratio
Simulation
Strategy
Vices
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Summary: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.
ISSN:1070-9908
1558-2361
DOI:10.1109/97.889633