Improved GCC technique: a comprehensive approach to color cast rectification and image enhancement
The domain of underwater imaging is riddled with multifarious challenges, such as light attenuation, scattering, and color distortion, which can have a detrimental impact on the quality of images. In order to address these challenges, the Generalized Color Compensation (GCC) technique has been intro...
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| Format: | Article |
| Language: | English English |
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Universiti Putra Malaysia Press
2023
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| Online Access: | https://eprints.ums.edu.my/id/eprint/41834/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/41834/2/FULL%20TEXT.pdf |
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| author | Danny Ngo Lung Yao Abdullah Bade Iznora Aini Zolkifly Paridah Daud |
| author_facet | Danny Ngo Lung Yao Abdullah Bade Iznora Aini Zolkifly Paridah Daud |
| author_sort | Danny Ngo Lung Yao |
| collection | UMS |
| description | The domain of underwater imaging is riddled with multifarious challenges, such as light attenuation, scattering, and color distortion, which can have a detrimental impact on the quality of images. In order to address these challenges, the Generalized Color Compensation (GCC) technique has been introduced, which utilizes color compensation and color mean adjustment to rectify color cast while integrating contrast enhancement via the Contrast Limited Adaptive Histogram Equalization (CLAHE). Nevertheless, the performance of GCC is limited due to the production of bright and smooth images. To overcome this challenge, we have introduced the improved GCC approach, which employs color compensation and color mean adjustment to rectify color cast. Subsequently, a contrast-enhanced image is generated through CLAHE to improve image contrast, while the detail-enhanced image is produced via a cumulative distribution function. Furthermore, image fusion between the detail-enhanced and contrast-enhanced images yields a superior-quality image. Our experimental results demonstrate the effectiveness of our proposed technique in improving the visual quality of underwater images. Objective metrics such as Underwater Image Quality Measure (UIQM) demonstrate that our technique surpasses GCC in terms of image sharpness, colorfulness, and contrast. |
| first_indexed | 2024-12-09T00:53:45Z |
| format | Article |
| id | ums.eprints-41834 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-12-09T00:53:45Z |
| publishDate | 2023 |
| publisher | Universiti Putra Malaysia Press |
| record_format | dspace |
| spelling | ums.eprints-418342024-11-11T01:06:20Z https://eprints.ums.edu.my/id/eprint/41834/ Improved GCC technique: a comprehensive approach to color cast rectification and image enhancement Danny Ngo Lung Yao Abdullah Bade Iznora Aini Zolkifly Paridah Daud TR1-1050 Photography TR287-500 Photographic processing. Darkroom technique The domain of underwater imaging is riddled with multifarious challenges, such as light attenuation, scattering, and color distortion, which can have a detrimental impact on the quality of images. In order to address these challenges, the Generalized Color Compensation (GCC) technique has been introduced, which utilizes color compensation and color mean adjustment to rectify color cast while integrating contrast enhancement via the Contrast Limited Adaptive Histogram Equalization (CLAHE). Nevertheless, the performance of GCC is limited due to the production of bright and smooth images. To overcome this challenge, we have introduced the improved GCC approach, which employs color compensation and color mean adjustment to rectify color cast. Subsequently, a contrast-enhanced image is generated through CLAHE to improve image contrast, while the detail-enhanced image is produced via a cumulative distribution function. Furthermore, image fusion between the detail-enhanced and contrast-enhanced images yields a superior-quality image. Our experimental results demonstrate the effectiveness of our proposed technique in improving the visual quality of underwater images. Objective metrics such as Underwater Image Quality Measure (UIQM) demonstrate that our technique surpasses GCC in terms of image sharpness, colorfulness, and contrast. Universiti Putra Malaysia Press 2023 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/41834/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/41834/2/FULL%20TEXT.pdf Danny Ngo Lung Yao and Abdullah Bade and Iznora Aini Zolkifly and Paridah Daud (2023) Improved GCC technique: a comprehensive approach to color cast rectification and image enhancement. Pertanika Journal of Science and Technology, 32 (1). pp. 1-10. ISSN 0128-7680 https://doi.org/10.47836/pjst.32.1.24 |
| spellingShingle | TR1-1050 Photography TR287-500 Photographic processing. Darkroom technique Danny Ngo Lung Yao Abdullah Bade Iznora Aini Zolkifly Paridah Daud Improved GCC technique: a comprehensive approach to color cast rectification and image enhancement |
| title | Improved GCC technique: a comprehensive approach to color cast rectification and image enhancement |
| title_full | Improved GCC technique: a comprehensive approach to color cast rectification and image enhancement |
| title_fullStr | Improved GCC technique: a comprehensive approach to color cast rectification and image enhancement |
| title_full_unstemmed | Improved GCC technique: a comprehensive approach to color cast rectification and image enhancement |
| title_short | Improved GCC technique: a comprehensive approach to color cast rectification and image enhancement |
| title_sort | improved gcc technique a comprehensive approach to color cast rectification and image enhancement |
| topic | TR1-1050 Photography TR287-500 Photographic processing. Darkroom technique |
| url | https://eprints.ums.edu.my/id/eprint/41834/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/41834/2/FULL%20TEXT.pdf |
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