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Color Image Enhancement by Fuzzy Intensification
Barcelona, Spain September 03-September 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.90354715th International Conference on Patt ...
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M. Hanmandlu, Indian Institute of Technology
Devendra Jha, Indian Institute of Technology
Rochak Sharma, Delhi College of Engineering
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.
Citation:
M. Hanmandlu, Devendra Jha, Rochak Sharma, "Color Image Enhancement by Fuzzy Intensification," icpr, vol. 3, pp.3314, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 3, 2000
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