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 |
| Publisher | Publ by IEEE |
| Pages | 3001-3004 |
| Number of pages | 4 |
| ISBN (Print) | 078030033 |
| Publication status | Published - 1991 |
| 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 |
Publication series
| Name | Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing |
|---|---|
| Volume | 4 |
| ISSN (Print) | 0736-7791 |
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 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering
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Cite this
Ko, S. J., & Lee, Y. H. (1991). Theoretical analysis of Winsorizing smoothers and their applications to image processing. In Anon (Ed.), Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 3001-3004). (Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing; Vol. 4). Publ by IEEE.