UM
Image restoration using fuzzy impulse noise detection and adaptive median filter
Lin Y.; Fang B.; Tang Y.
2010-12-01
Source Publication2010 Chinese Conference on Pattern Recognition, CCPR 2010 - Proceedings
Pages551-554
AbstractIn this paper we propose a new algorithm to reduce the impulse noises in images. It contains two separated steps: impulse noise detect step and filter step. In impulse noise detect step we use the fuzzy gradient method with new fuzzy rules to distinguish the noise pixels and edge pixels; and filter step employs a novel adaptive median filter whose size is controlled by the number of interesting pixels in the filter window and its dynamic number threshold which will be defined in this paper. Experimental results show it is effective in image impulse noise removing while preserving the image details. ©2010 IEEE.
KeywordAdaptive median filter Fuzzy rules Image restoration
DOI10.1109/CCPR.2010.5659312
URLView the original
Language英語
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Document TypeConference paper
CollectionUniversity of Macau
AffiliationChongqing University
Recommended Citation
GB/T 7714
Lin Y.,Fang B.,Tang Y.. Image restoration using fuzzy impulse noise detection and adaptive median filter[C],2010:551-554.
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