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20231223150957.0 |
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231223s1995 xx ||||| 00| ||eng c |
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|a (DE-627)NLM177782803
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|a (NLM)18292013
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Russo, F
|e verfasserin
|4 aut
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| 245 |
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|a A fuzzy operator for the enhancement of blurred and noisy images
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|c 1995
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| 336 |
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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| 338 |
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 02.10.2012
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| 500 |
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|a Date Revised 22.02.2008
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| 500 |
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a Rule-based fuzzy operators are a novel class of operators specifically designed in order to apply the principles of approximate reasoning to digital image processing. This paper shows how a fuzzy operator that is able to perform detail sharpening but is insensitive to noise can be designed. The results obtainable by the proposed technique in the enhancement of a real image are presented
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| 650 |
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|a Journal Article
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| 700 |
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|a Ramponi, G
|e verfasserin
|4 aut
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| 773 |
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8 |
|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 4(1995), 8 vom: 15., Seite 1169-74
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|x 1941-0042
|7 nnns
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| 773 |
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|g volume:4
|g year:1995
|g number:8
|g day:15
|g pages:1169-74
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|d 4
|j 1995
|e 8
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