DocumentCode
1068102
Title
Double smoothing of images using median and Wiener filters
Author
Park, Soon Young ; Lee, Yong Hoon
Author_Institution
Dept. of Electr. & Comput. Eng., State Univ. of New York, Buffalo, NY, USA
Volume
37
Issue
6
fYear
1989
fDate
6/1/1989 12:00:00 AM
Firstpage
943
Lastpage
946
Abstract
The authors propose double smoothers, consisting of the median and Wiener filters, which they call the median and Wiener (MW) double smoothers. It is shown that the MW double smoother is suitable for smoothing a covariance stationary process which is a useful model of images. The statistical analysis and experimental results indicate that the MW double smoother is an efficient edge-preserving smoother that can outperform the individual median and Wiener filters
Keywords
filtering and prediction theory; picture processing; statistical analysis; Wiener filters; covariance stationary process; double smoothers; edge-preserving smoother; image smoothing; median filter; noise suppression; statistical analysis; Acoustic signal processing; Computer simulation; Samarium; Signal processing algorithms; Smoothing methods; Speech processing; Statistical analysis; Wiener filter;
fLanguage
English
Journal_Title
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
0096-3518
Type
jour
DOI
10.1109/ASSP.1989.28066
Filename
28066
Link To Document