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- aggregation classification "P1".
- aggregation creator B56121.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2007".
- aggregation format "application/pdf".
- aggregation hasFormat 750348.bibtex.
- aggregation hasFormat 750348.csv.
- aggregation hasFormat 750348.dc.
- aggregation hasFormat 750348.didl.
- aggregation hasFormat 750348.doc.
- aggregation hasFormat 750348.json.
- aggregation hasFormat 750348.mets.
- aggregation hasFormat 750348.mods.
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- aggregation hasFormat 750348.txt.
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- aggregation hasFormat 750348.yaml.
- aggregation isPartOf urn:isbn:978-3-540-74258-6.
- aggregation isPartOf urn:issn:0302-9743.
- aggregation language "eng".
- aggregation publisher "Springer".
- aggregation title "A new fuzzy additive noise reduction method".
- aggregation abstract "In this paper we present a new alternative noise reduction method for color images that were corrupted with additive Gaussian noise. We illustrate that color images have to be processed in a different way than most of the state-of-the-art methods. The proposed method consists of two sub-filters. The main concern of the first subfilter is to distinguish between local variations due to noise and local variations due to image structures such as edges. This is realized by using the color component distances instead of component differences as done by most current filters. The second subfilter is used as a complementary filter which especially preserves differences between the color components. This is realized by calculating the local differences in the red, green and blue environment separately. These differences are then combined to calculate the local estimation of the central pixel. Experimental results show the feasibility of the proposed approach.".
- aggregation authorList BK142493.
- aggregation endPage "23".
- aggregation startPage "12".
- aggregation volume "4633".
- aggregation aggregates 829208.
- aggregation isDescribedBy 750348.
- aggregation similarTo 978-3-540-74260-9.
- aggregation similarTo LU-750348.