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http://dx.doi.org/10.13067/JKIECS.2015.10.5.645

Visibility Enhancement of Underwater Image Using a Color Transform Model  

Jang, Ik-Hee (서남대학교 행정학과)
Park, Jeong-Seon (전남대학교 문화콘텐츠학부)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.10, no.5, 2015 , pp. 645-652 More about this Journal
Abstract
In underwater, such as fish farm and sea, turbidity is increased by water droplets and various suspended, therefore light attenuation occurs depending on the depth also caused by the scattering effect of light float. In this paper, in order to improve the visibility of underwater images obtained from these aquatic environment, we propose a visibility enhancement method using a haze removal method based on dark channel prior and a trained color transform model. In order to train a color transform model, we used underwater pattern images captured from Pohang and Yeosu, and to measure the performance of the proposed method, we carried out experiment of visibility enhancement using underwater images collected from Yeosu, Geomundo and Philippines. The results show that the proposed method can improve the visibility of underwater images of various locations.
Keywords
Underwater Image; Visibility Enhancement; Haze Removal; Color Transform Model;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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