Title :
Computing 2-D min, median, and max filters
Author :
Gil, Joseph ; Werman, Michael
Author_Institution :
Dept. of Comput. Sci., Hebrew Univ., Jerusalem, Israel
fDate :
5/1/1993 12:00:00 AM
Abstract :
Fast algorithms for computing min, median, max, or any other order statistic filter transforms are described. The algorithms take constant time per pixel to compute min or max filters and polylog time per pixel, in the size of the filter, to compute the median filter. A logarithmic time per pixel lower bound for the computation of the median filter is shown
Keywords :
filtering and prediction theory; image processing; 2D min filters; image processing; logarithmic time; max filters; median filter; polylog time; statistic filter transforms; Degradation; Filters; Gas insulated transmission lines; Noise reduction; Shape; Statistics; Symmetric matrices;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on