DocumentCode :
302137
Title :
Optimal soft morphological filtering under breakdown probability constraints
Author :
Koivisto, Pertti ; Huttunen, Heilcki ; Kuosmanen, Pauli
Author_Institution :
Signal Process. Lab., Tampere Univ. of Technol., Finland
Volume :
2
fYear :
1996
fDate :
12-15 May 1996
Firstpage :
112
Abstract :
A robust filtering method with good detail preservation properties is a desideratum in many signal processing applications. Unfortunately, it is typically difficult to design a filter having these two properties simultaneously. This paper gives a method to optimize filters by giving different penalties for deviations from the robustness and from the detail preservation requirements. It is illustrated that by relaxing the robustness requirement a little, the optimal filter can obtain significantly improved detail preservation properties
Keywords :
filtering theory; image processing; mathematical morphology; probability; breakdown probability constraints; detail preservation; optimal soft morphological filtering; robustness; signal processing; Digital filters; Electric breakdown; Filtering; Kernel; Laboratories; Morphological operations; Noise robustness; Nonlinear filters; Optimization methods; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3073-0
Type :
conf
DOI :
10.1109/ISCAS.1996.540365
Filename :
540365
Link To Document :
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