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231223s1999 xx |||||o 00| ||eng c |
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|a 10.1109/83.772235
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|a eng
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|a Lin, J H
|e verfasserin
|4 aut
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|a Nonlinear filtering by threshold decomposition
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|c 1999
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|a Text
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|2 rdacontent
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|a ƒaComputermedien
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|a Date Completed 15.12.2009
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|a Date Revised 12.02.2008
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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|a A new threshold decomposition architecture is introduced to implement stack filters. The architecture is also generalized to a new class of nonlinear filters known as threshold decomposition (TD) filters which are shown to be equivalent to the class of L1-filters under certain conditions. Another new class of filters known as linear and order statistic (LOS) filters result from the intersection of the class of TD and L1-filters. Performance comparisons among several filters are then presented. It was found that TD is compatible with L1, LOS, and linear filters in suppressing Gaussian noise, and is superior in suppressing salt-and-pepper noise. LOS filters, however, provide a better compromise in performance and complexity
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|a Journal Article
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|a Ansari, N
|e verfasserin
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|a Li, J
|e verfasserin
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|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 8(1999), 7 vom: 28., Seite 925-33
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|u http://dx.doi.org/10.1109/83.772235
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