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

Title: Color image enhancement by fuzzy intensification
Authors: Hanmandlu, M
Jha, Devendra
Sharma, Rochak
Keywords: Image processing
Color enhancement
Fuzzy logic
Fuzzy contrast
Entropy
Index of fuzziness
Fuzzifier
Intensification operator
Issue Date: 2002
Citation: Pattern Recognition Letters, 24(1-3), 81-87
Abstract: A 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.
URI: http://eprint.iitd.ac.in/dspace/handle/2074/1117
Appears in Collections:Electrical Engineering

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