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 inIEEE signal processing letters Vol. 8; no. 1; pp. 1 - 3
Main Authors Chen, T., Hong Ren Wu
Format Journal Article
LanguageEnglish
Published New York IEEE 01.01.2001
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1070-9908
1558-2361
DOI:10.1109/97.889633