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
Link To Document :
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