TY - GEN
T1 - Theoretical analysis of Winsorizing smoothers and their applications to image processing
AU - Ko, Sung Jea
AU - Lee, Yong Hoon
PY - 1991
Y1 - 1991
N2 - The Winsorizing smoother (W smoother), which is a center weighted median (CWM) 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 W smoother are analyzed. It is shown that the W smoother can outperform the median filter, while its implementation is almost as simple as median filtering. Some relationships between W smoothers and other median-type filters, such as the weighted median filter and the multi-stage median filter, are derived.
AB - The Winsorizing smoother (W smoother), which is a center weighted median (CWM) 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 W smoother are analyzed. It is shown that the W smoother can outperform the median filter, while its implementation is almost as simple as median filtering. Some relationships between W smoothers and other median-type filters, such as the weighted median filter and the multi-stage median filter, are derived.
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M3 - Conference contribution
AN - SCOPUS:0026368506
SN - 078030033
T3 - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
SP - 3001
EP - 3004
BT - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
A2 - Anon, null
PB - Publ by IEEE
T2 - Proceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91
Y2 - 14 May 1991 through 17 May 1991
ER -