Wong, Siaw Lang and Paramesran, Raveendran and Taguchi, Akira (2018) Underwater Image Enhancement by Adaptive Gray World and Differential Gray-Levels Histogram Equalization. Advances in Electrical and Computer Engineering, 18 (2). pp. 109-116. ISSN 1582-7445, DOI https://doi.org/10.4316/AECE.2018.02014.
Full text not available from this repository.Abstract
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.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Digital images; Image color analysis; Image enhancement; Image fusion; Image processing |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 18 Feb 2019 03:13 |
| Last Modified: | 18 Feb 2019 03:13 |
| URI: | http://eprints.um.edu.my/id/eprint/20358 |
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