Noise Adaptive Fuzzy Switching Median Filter for Salt-and-Pepper Noise Reduction

This letter presents a novel two-stage noise adaptive fuzzy switching median (NAFSM) filter for salt-and-pepper noise detection and removal. Initially, the detection stage will utilize the histogram of the corrupted image to identify noise pixels. These detected ¿noise pixels¿ will then be subjected...

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Bibliographic Details
Published inIEEE signal processing letters Vol. 17; no. 3; pp. 281 - 284
Main Authors Toh, K.K.V., Isa, N.A.M.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.03.2010
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:This letter presents a novel two-stage noise adaptive fuzzy switching median (NAFSM) filter for salt-and-pepper noise detection and removal. Initially, the detection stage will utilize the histogram of the corrupted image to identify noise pixels. These detected ¿noise pixels¿ will then be subjected to the second stage of the filtering action, while ¿noise-free pixels¿ are retained and left unprocessed. Then, the NAFSM filtering mechanism employs fuzzy reasoning to handle uncertainty present in the extracted local information as introduced by noise. Simulation results indicate that the NAFSM is able to outperform some of the salt-and-pepper noise filters existing in literature.
Bibliography:ObjectType-Article-2
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content type line 23
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2009.2038769