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dc.contributor.authorChowdhury, M. Mozammel Hoque
dc.contributor.authorBhuiyan, Md. Al-Amin
dc.date.accessioned2009-06-02T07:06:27Z
dc.date.accessioned2020-05-25T06:47:24Z-
dc.date.available2009-06-02T07:06:27Z
dc.date.available2020-05-25T06:47:24Z-
dc.date.issued2009-02-12T03:28:10Z
dc.date.submitted2009-02-11
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/11218-
dc.description.abstractImage de-noising is a technique to reduce noises from a corrupted image. The aim of image denoising is to improve contrast of the image or perception of information in images for human viewers, or to provide better input for other automated image processing techniques. This paper presents a new approach for image de-noising with a fuzzy rule-based filtering. Compared to other non-linear techniques, fuzzy filter is able to represent knowledge in a comprehensible way.
dc.description.sponsorship淡江大學,台北縣
dc.format.extent4p.
dc.relation.ispartofseries2008 ICS會議
dc.subjectImage de-noising
dc.subjectfuzzy filtering
dc.subjectimage enhancement
dc.subjectknowledge-based representation
dc.subject.otherImage Processing
dc.titleImage De-Noising with a Fuzzy Filtering Technique
分類:2008年 ICS 國際計算機會議

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