A new approach to the problem of impulsive-noise reduction for color images
is introduced. The major advantage of the technique is that it filters out
the noise component while adapting itself to the local image structures. I
n this way the algorithm is able to eliminate strong impulsive noise while
preserving edges and fine image details. As the algorithm is a fuzzy modifi
cation of the commonly used vector median operator, it is very fast and eas
y to implement. Our results show that the proposed method outperforms all s
tandard algorithms for the reduction of impulsive noise in color images. (C
) 2001 Society of Photo-Optical Instrumentation Engineers.