Title :
Generalized max/median filtering
Author :
Zou, Yuan ; Dunsmuir, William T M
Author_Institution :
Sch. of Math., New South Wales Univ., Sydney, NSW, Australia
Abstract :
Generalized max/median filtering is defined as an extension of max/median filtering. Properties for these extensions are given. The output distribution of generalized max/median filtering with independent but not identical inputs is derived and applied to the special case of regular max/median filtering thereby providing a new result. Based on these distribution results, it is shown that max/median and generalized max/median filtering can preserve image details
Keywords :
Gaussian noise; filtering theory; image processing; median filters; statistical analysis; Gaussian noise; Laplacian noise; generalized max/median filtering; generalized multistage median filtering; image details preservation; independent inputs; noise suppression; output distribution; regular max/median filtering; statistical analysis; Australia; Density functional theory; Distribution functions; Filtering; Filters; Image converters; Image processing; Image segmentation; Mathematics; Statistics;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.647798
