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