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
fDate :
7/1/1992 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
