DocumentCode
2825388
Title
From median filters to optimal stack filtering
Author
Coyle, Edward J. ; Gabbouj, Moncef ; Lin, Jean-Hsang
Author_Institution
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
fYear
1991
fDate
11-14 Jun 1991
Firstpage
9
Abstract
Within the last two decades a useful, nontrivial theory of nonlinear signal processing has been built around the median filter. The authors outline the development of this theory from its beginnings in the study of the noise removal properties and structural behavior of the median filter to the recently developed theory of optimal stack filtering. A recent application of stack filters to the problem of edge detection in noisy images is provided to demonstrate the effectiveness of this new theory
Keywords
filtering and prediction theory; pattern recognition; picture processing; signal processing; edge detection; median filters; noise removal properties; noisy images; nonlinear signal processing; optimal stack filtering; Additive noise; Filtering theory; Gaussian noise; Image processing; Laboratories; Noise reduction; Nonlinear filters; Signal processing; Smoothing methods; Speckle;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN
0-7803-0050-5
Type
conf
DOI
10.1109/ISCAS.1991.176260
Filename
176260
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