DocumentCode
2875546
Title
Color image enhancement by fuzzy intensification
Author
Hanmandlu, M. ; Jha, Devendra ; Sharma, Rochak
Author_Institution
Dept. of Electr. Eng., Indian Inst. of Technol., Delhi, India
Volume
3
fYear
2000
fDate
2000
Firstpage
310
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
Keywords
entropy; fuzzy set theory; image colour analysis; image enhancement; minimisation; Gaussian membership function; color image enhancement; contrast intensification operator; fuzziness index; fuzzy entropy minimization; fuzzy intensification; human contrast perception; image entropy; image information; image quality; spatial domain; Color; Colored noise; Educational institutions; Entropy; Fuzzy sets; Histograms; Humans; Image enhancement; Image quality; Mathematics;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.903547
Filename
903547
Link To Document