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Enhancement of Underwater Image using Fuzzy Histogram Equalization

Ghada S. Karam, Ziad M. Abood, Rafal N. Saleh Published in Image Processing

International Journal of Applied Information Systems
Year of Publication: 2013
© 2013 by IJAIS Journal
10.5120/ijais13-450987
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  1. Ghada S Karam, Ziad M Abood and Rafal N Saleh. Article: Enhancement of Underwater Image using Fuzzy Histogram Equalization. International Journal of Applied Information Systems 6(6):1-6, December 2013. BibTeX

    @article{key:article,
    	author = "Ghada S. Karam and Ziad M. Abood and Rafal N. Saleh",
    	title = "Article: Enhancement of Underwater Image using Fuzzy Histogram Equalization",
    	journal = "International Journal of Applied Information Systems",
    	year = 2013,
    	volume = 6,
    	number = 6,
    	pages = "1-6",
    	month = "December",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Image enhancement is a process of improving the quality of image by improving its feature. The underwater images suffer from low contrast and resolution due to scattering of light and poor visibility conditions. In this paper we proposed an image enhancement technique to enhance the quality of underwater images. The proposed technique comprises a combination of classical contrast enhancement techniques and fuzzy-histogram equalization techniques. For comparing the performance, some statistics parameter is used. The proposed technique comprises a combination of classical contrast enhancement techniques and fuzzy-histogram equalization techniques. Experiment results demonstrate the effectiveness of fuzzy logic techniques to enhance the quality of the underwater images.

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Keywords

Image enhancement, underwater images, fuzzy-histogram equalization.