DocumentCode :
1112479
Title :
Combination median filter
Author :
Kundu, Amlam ; Zhou, Jian
Author_Institution :
Dept. of Electr. Eng., State Univ. of New York at Buffalo, Amherst, NY, USA
Volume :
1
Issue :
3
fYear :
1992
fDate :
7/1/1992 12:00:00 AM
Firstpage :
422
Lastpage :
429
Abstract :
A detail- and structure-preserving smoothing filter is introduced. It is called the combination median filter as it uses directional median, multilevel median, and median filters to smooth different regions of the image. The decision about the region is made by robust Dixon´s r-test which is well known in statistics for outlier detection. The threshold value of Dixon´s test can be kept constant. As a result, the filtering algorithm operates like a quasi-nonadaptive filter, and no computation of local statistics is involved. Some properties of the filter as well as detailed experimental results that demonstrate its superior performance are presented
Keywords :
filtering and prediction theory; picture processing; combination median filter; detail-preserving smoothing filter; directional median; multilevel median; outlier detection; quasi-nonadaptive filter; robust Dixon´s r-test; structure-preserving smoothing filter; threshold value; Adaptive filters; Additive noise; Filtering algorithms; Finite impulse response filter; Image restoration; Noise robustness; Robot vision systems; Smoothing methods; Statistics; Testing;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.148615
Filename :
148615
Link To Document :
بازگشت