An optimization method for underwater images enhancement
Underwater images suffer from absorption and scattering of light, so underwater images are blurry, while contrast, clarity, and lighting are low. To improve the quality of underwater images, a method based on the new metaheuristic algorithm, the CHIO algorithm, was proposed. In our work, we first...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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College of Education for Pure Sciences
2023-06-01
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| Series: | Wasit Journal for Pure Sciences |
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| Online Access: | https://wjps.uowasit.edu.iq/index.php/wjps/article/view/171 |
| _version_ | 1797288394686988288 |
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| author | Zaid Alyasseri Rana Ghalib |
| author_facet | Zaid Alyasseri Rana Ghalib |
| author_sort | Zaid Alyasseri |
| collection | DOAJ |
| description |
Underwater images suffer from absorption and scattering of light, so underwater images are blurry, while contrast, clarity, and lighting are low. To improve the quality of underwater images, a method based on the new metaheuristic algorithm, the CHIO algorithm, was proposed. In our work, we first read the images and convert the color system from RGB to HSV. Subsequently, apply the CHIO algorithm to the image, and finally convert the color system from HSV to RGB. Experiments on the standard benchmark dataset for underwater image optimization proved the effectiveness of the method, while the performance of our algorithm is better than that of the standard optimization algorithms.
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| first_indexed | 2024-03-07T18:48:42Z |
| format | Article |
| id | doaj.art-cc6de5dcb9f5454abc9d49545f6c7f00 |
| institution | Directory Open Access Journal |
| issn | 2790-5233 2790-5241 |
| language | English |
| last_indexed | 2024-03-07T18:48:42Z |
| publishDate | 2023-06-01 |
| publisher | College of Education for Pure Sciences |
| record_format | Article |
| series | Wasit Journal for Pure Sciences |
| spelling | doaj.art-cc6de5dcb9f5454abc9d49545f6c7f002024-03-02T02:02:51ZengCollege of Education for Pure SciencesWasit Journal for Pure Sciences2790-52332790-52412023-06-012210.31185/wjps.171An optimization method for underwater images enhancementZaid Alyasseri0Rana GhalibITRDC, University of Kufa Underwater images suffer from absorption and scattering of light, so underwater images are blurry, while contrast, clarity, and lighting are low. To improve the quality of underwater images, a method based on the new metaheuristic algorithm, the CHIO algorithm, was proposed. In our work, we first read the images and convert the color system from RGB to HSV. Subsequently, apply the CHIO algorithm to the image, and finally convert the color system from HSV to RGB. Experiments on the standard benchmark dataset for underwater image optimization proved the effectiveness of the method, while the performance of our algorithm is better than that of the standard optimization algorithms. https://wjps.uowasit.edu.iq/index.php/wjps/article/view/171Underwater image enhancementDigital ImageImage ProcessingCoronavirus Herd Immunity Optimizer Algorithm (CHIO)Metaheuristics |
| spellingShingle | Zaid Alyasseri Rana Ghalib An optimization method for underwater images enhancement Wasit Journal for Pure Sciences Underwater image enhancement Digital Image Image Processing Coronavirus Herd Immunity Optimizer Algorithm (CHIO) Metaheuristics |
| title | An optimization method for underwater images enhancement |
| title_full | An optimization method for underwater images enhancement |
| title_fullStr | An optimization method for underwater images enhancement |
| title_full_unstemmed | An optimization method for underwater images enhancement |
| title_short | An optimization method for underwater images enhancement |
| title_sort | optimization method for underwater images enhancement |
| topic | Underwater image enhancement Digital Image Image Processing Coronavirus Herd Immunity Optimizer Algorithm (CHIO) Metaheuristics |
| url | https://wjps.uowasit.edu.iq/index.php/wjps/article/view/171 |
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