DocumentCode
319917
Title
Generalized max/median filtering
Author
Zou, Yuan ; Dunsmuir, William T M
Author_Institution
Sch. of Math., New South Wales Univ., Sydney, NSW, Australia
Volume
1
fYear
1997
fDate
26-29 Oct 1997
Firstpage
428
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1997. Proceedings., International Conference on
Conference_Location
Santa Barbara, CA
Print_ISBN
0-8186-8183-7
Type
conf
DOI
10.1109/ICIP.1997.647798
Filename
647798
Link To Document