Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/10433
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dc.contributor.authorCrnojević V.en
dc.date.accessioned2020-03-03T14:39:29Z-
dc.date.available2020-03-03T14:39:29Z-
dc.date.issued2005-12-01en
dc.identifier.isbn0780391349en
dc.identifier.issn15224880en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/10433-
dc.description.abstractA new method for impulse noise removal is presented, where a robust estimator of the variance, MAD (median of the absolute deviations from the median), is used for impulse detection. By using this method, image details are well preserved, while impulse noise is suppressed. The algorithm is straightforward, low in complexity, achieves high filtering performance and requires no previous training. © 2005 IEEE.en
dc.relation.ispartofProceedings - International Conference on Image Processing, ICIPen
dc.titleImpulse noise filter with adaptive mad-based thresholden
dc.typeConference Paperen
dc.identifier.doi10.1109/ICIP.2005.1530397en
dc.identifier.scopus2-s2.0-33749265148en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/33749265148en
dc.relation.lastpage340en
dc.relation.firstpage337en
dc.relation.volume3en
item.grantfulltextnone-
item.fulltextNo Fulltext-
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