Title :
Median M-type K-nearest neighbour (MM-KNN) filter to remove impulse noise from corrupted images
Author :
Gallegos-Funes, F.J. ; Ponomaryov, V.I. ; Sadovnychiy, S. ; Nino-de-Rivera, L.
Author_Institution :
Mech. & Electr. Eng. Higher Sch., Nat. Polytech. Inst. of Mexico, Mexico
fDate :
7/18/2002 12:00:00 AM
Abstract :
The median M-type K-nearest neighbour (MM-KNN) filter to remove impulse noise from corrupted images is presented. This filter uses R and M estimators combined with different influence functions. Simulation results have shown that the restoration performance is better than that of other known filters
Keywords :
filtering theory; image restoration; impulse noise; median filters; corrupted images; impulse noise removal; influence functions; median M-type K-nearest neighbour filter; nonlinear filters; restoration performance; simulation results;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20020567
