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
来源
PROCEEDINGS OF THE 2016 INTERNATIONAL SYMPOSIUM ON INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS (INISTA) | 2016年
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
相关论文
共 15 条
  • [1] [Anonymous], 2011, Int. J. Comput. Technol. Electron. Eng
  • [2] [Anonymous], IAENG INT J COMPUT S
  • [3] [Anonymous], 2014, Int. J. Comput. Sci. Eng. Commun
  • [4] [Anonymous], 2011, INT J MACH INTELL, DOI DOI 10.48550/ARXIV.1212.0291
  • [5] [Anonymous], INT J EMERGING TECHN
  • [6] [Anonymous], CARACTERISATION MILI
  • [7] Optimal sub-band adaptive thresholding based edge preserved satellite image denoising using adaptive differential evolution algorithm
    Bhandari, A. K.
    Kumar, D.
    Kumar, A.
    Singh, G. K.
    [J]. NEUROCOMPUTING, 2016, 174 : 698 - 721
  • [8] Visual enhancement of underwater images using Empirical Mode Decomposition
    Celebi, Aysun Tasyapi
    Erturk, Sarp
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (01) : 800 - 805
  • [9] Firdausy K., 2007, TELKOMNIKA, V5, P45
  • [10] Gonzalez RC., 2001, DIGITAL IMAGE PROCES