Theoretical analysis of Winsorizing smoothers and their applications to image processing

Author

Ko, Sung-Jea ; Lee, Yong Hoon

Author_Institution

Dept. of Electr. & Comput. Eng., Michigan Univ., Dearborn, MI, USA

fYear

1991

fDate

14-17 Apr 1991

Firstpage

3001

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

Keywords

filtering and prediction theory; interference suppression; picture processing; statistical analysis; white noise; Winsorizing smoother; additive white noise; center weighted median filter; image processing; impulsive noise; multistage median filter; noise suppression; statistical properties; weighted median filter; Additive noise; Additive white noise; Application software; Character recognition; Filtering; Filters; Image analysis; Image processing; Noise reduction; Smoothing methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on

Conference_Location

Toronto, Ont.

ISSN

1520-6149

Print_ISBN

0-7803-0003-3

Type

conf

DOI

10.1109/ICASSP.1991.151034

Filename

151034