Underwater image enhancement by adaptive gray world and differential gray-levels histogram equalization

Siaw Lang Wong, Raveendran Paramesran, Akira Taguchi

Research output: Contribution to journalArticleResearchpeer-review

24 Citations (Scopus)


Most underwater images tend to be dominated by a single color cast. This paper presents a solution to remove the color cast and improve the contrast in underwater images. However, after the removal of the color cast using Gray World (GW) method, the resultant image is not visually pleasing. Hence, we propose an integrated approach using Adaptive GW (AGW) and Differential Gray-Levels Histogram Equalization (DHE) that operate in parallel. The AGW is applied to remove the color cast while DHE is used to improve the contrast of the underwater image. The outputs of both chromaticity components of AGW and intensity components of DHE are combined to form the enhanced image. The results of the proposed method are compared with three existing methods using qualitative and quantitative measures. The proposed method increased the visibility of underwater images and in most cases produces better quantitative scores when compared to the three existing methods.

Original languageEnglish
Pages (from-to)109-116
Number of pages8
JournalAdvances in Electrical and Computer Engineering
Issue number2
Publication statusPublished - 2018
Externally publishedYes


  • Digital images
  • Image color analysis
  • Image enhancement
  • Image fusion
  • Image processing

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