Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing |
| Editors | Anon |
| Place of Publication | Piscataway, NJ, United States |
| Publisher | Publ by IEEE |
| Pages | 3001-3004 |
| Number of pages | 4 |
| Volume | 4 |
| ISBN (Print) | 078030033 |
| Publication status | Published - 1991 Dec 1 |
| Externally published | Yes |
| Event | Proceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91 - Toronto, Ont, Can Duration: 1991 May 14 → 1991 May 17 |
Other
| Other | Proceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91 |
|---|---|
| City | Toronto, Ont, Can |
| Period | 91/5/14 → 91/5/17 |
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ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
- Acoustics and Ultrasonics
Cite this
Theoretical analysis of Winsorizing smoothers and their applications to image processing. / Ko, Sung-Jea; Lee, Yong Hoon.
Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing. ed. / Anon. Vol. 4 Piscataway, NJ, United States : Publ by IEEE, 1991. p. 3001-3004.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Theoretical analysis of Winsorizing smoothers and their applications to image processing
AU - Ko, Sung-Jea
AU - Lee, Yong Hoon
PY - 1991/12/1
Y1 - 1991/12/1
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.
UR - http://www.scopus.com/inward/record.url?scp=0026368506&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0026368506&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0026368506
SN - 078030033
VL - 4
SP - 3001
EP - 3004
BT - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
A2 - Anon, null
PB - Publ by IEEE
CY - Piscataway, NJ, United States
ER -