Underwater Image Enhancement Based On Contrast Adjustment via Differential Evolution Algorithm

被引:0
|
作者
Guraksin, Gur Emre [1 ]
Kose, Utku [2 ]
Deperlioglu, Omer [3 ]
机构
[1] Afyon Kocatepe Univ, Fac Engn, Dept Biomed Engn, Afyon, Turkey
[2] Usak Univ, Comp Sci Applicat & Res Ctr, Usak, Turkey
[3] Afyon Kocatepe Univ, Vocat Sch Afyon, Afyon, Turkey
关键词
underwater image enhancement; differential evolution algorithm; contrast stretching; optimization; artificial intelligence;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Due to the absorption and scattering of light in underwater environment, underwater images have poor contrast and resolution. This situation generally causes to a color, which became more dominant than the other ones. Because of that, analyzing underwater images effectively and identifying any object under the water has become a difficult task. In this paper, an underwater enhancement approach by using differential evolution algorithm was proposed. In the approach, a contrast enhancement in the RGB space is done. By using the approach, both scattering and absorption effects are reduced.
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页数:5
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