CENTER WEIGHTED MEDIAN FILTERS AND THEIR APPLICATIONS TO IMAGE-ENHANCEMENT

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The center weighted median (CWM) filter, which is a weighted median filter giving more weight only to the central value of each window, is studied. This filter can preserve image details while suppressing additive white and/or impulsive-type noise. The statistical properties of the CWM filter are analyzed. It is shown that the CWM filter can outperform the median filter. Some relationships between CWM and other median-type filters, such as the Winsorizing smoother and the multistage median filter, are derived. In an attempt to improve the performance of CWM filters, an adaptive CWM (ACWM) filter having a space varying central weight is proposed. We show that the ACWM filter is an excellent detail preserving smoother that can suppress signal-dependent noise as well as signal-independent noise.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
1991-09
Language
ENG
Article Type
Article
Keywords

SIGNAL-DEPENDENT NOISE; RESTORATION; ALGORITHM; REMOVAL

Citation

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS, v.38, no.9, pp.984 - 993

ISSN
0098-4094
URI
http://hdl.handle.net/10203/11675
Appears in Collection
EE-Journal Papers(저널논문)
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