| Fuzzy random impulse noise removal from color image sequences. | |
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MedLine Citation:
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PMID: 20858582 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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In this paper, a new fuzzy filter for the removal of random impulse noise in color video is presented. By working with different successive filtering steps, a very good tradeoff between detail preservation and noise removal is obtained. One strong filtering step that should remove all noise at once would inevitably also remove a considerable amount of detail. Therefore, the noise is filtered step by step. In each step, noisy pixels are detected by the help of fuzzy rules, which are very useful for the processing of human knowledge where linguistic variables are used. Pixels that are detected as noisy are filtered, the others remain unchanged. Filtering of detected pixels is done by blockmatching based on a noise adaptive mean absolute difference. The experiments show that the proposed method outperforms other state-of-the-art filters both visually and in terms of objective quality measures such as the mean absolute error (MAE), the peak-signal-to-noise ratio (PSNR) and the normalized color difference (NCD). |
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Authors:
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Tom Melange; Mike Nachtegael; Etienne E Kerre |
Publication Detail:
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Type: Journal Article Date: 2010-09-20 |
Journal Detail:
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Title: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Volume: 20 ISSN: 1941-0042 ISO Abbreviation: IEEE Trans Image Process Publication Date: 2011 Apr |
Date Detail:
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Created Date: 2011-03-22 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9886191 Medline TA: IEEE Trans Image Process Country: United States |
Other Details:
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Languages: eng Pagination: 959-70 Citation Subset: IM |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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