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Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/1117

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dc.contributor.authorHanmandlu, M-
dc.contributor.authorJha, Devendra-
dc.contributor.authorSharma, Rochak-
dc.date.accessioned2006-01-02T11:20:25Z-
dc.date.available2006-01-02T11:20:25Z-
dc.date.issued2002-
dc.identifier.citationPattern Recognition Letters, 24(1-3), 81-87en
dc.identifier.urihttp://eprint.iitd.ac.in/dspace/handle/2074/1117-
dc.description.abstractA Gaussian membership function to model image information in spatial domain has been proposed in this paper. We introduce a new contrast intensification operator, which involves a parameter t for enhancement of color images. By minimizing the fuzzy entropy of the image information, the parameter t is calculated globally. A visible improvement in the image quality for human contrast perception is observed, also demonstrated here by the reduction in ‘index of fuzziness’ and ‘entropy’ of the output image.en
dc.format.extent281200 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.subjectImage processingen
dc.subjectColor enhancementen
dc.subjectFuzzy logicen
dc.subjectFuzzy contrasten
dc.subjectEntropyen
dc.subjectIndex of fuzzinessen
dc.subjectFuzzifieren
dc.subjectIntensification operatoren
dc.titleColor image enhancement by fuzzy intensificationen
dc.typeArticleen
Appears in Collections:Electrical Engineering

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