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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/50971

Title: Pre-scanned minmax center weighted filters for image restoration
Authors: J. -H. Wang
Contributors: 國立臺灣海洋大學電機工程學系
Date: 1999-04
Issue Date: 2018-11-02T01:50:15Z
Publisher: IEE Proceedings-Vision, Image and Signal Processing
Abstract: Abstract: The prescanned minmax centre-weighted (PMCW) filter, which is capable of restoring images severely corrupted by impulsive noise, is presented. Before filtering, the input image is scanned by a running window; the maximum and minimum of each ranked set in the running window are grouped as the first subset, and the rest as the second subset. Then, the two subsets are filtered in sequence by a centered weight filter. It is shown that filtering results in the first subset provide the extension property by which the effective smoothing region for the subsequent filtering in the second subset is extended. The detail-control property of PMCW is characterised, and some relationships between PMCW and ranked-order based filters are derived. Quantitative comparisons demonstrate that the PMCW filter offers a more desirable combination of noise suppression and detail preservation properties than can other median-type filters.
Relation: 146(2) pp.101-107
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/50971
Appears in Collections:[電機工程學系] 期刊論文

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