IGFU: A Hybrid Underwater Image Enhancement Approach Combining Adaptive GWA, FFA-Net With USM
To address the issue of color distortion and blurriness in underwater imageries, a hybrid Underwater Image Enhancement (UIE) method combining Adaptive Gray World Algorithm (GWA), Feature Fusion Attention Network (FFA-Net) and Unsharp Masking (USM) is proposed in this research. This method begins wit...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Open Journal of the Computer Society |
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| Online Access: | https://ieeexplore.ieee.org/document/10767312/ |
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| _version_ | 1850189751743676416 |
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| author | Xin Yuan Chenhui Wang Xiaohong Chen Mingxuan Wang Ning Li Changli Yu |
| author_facet | Xin Yuan Chenhui Wang Xiaohong Chen Mingxuan Wang Ning Li Changli Yu |
| author_sort | Xin Yuan |
| collection | DOAJ |
| description | To address the issue of color distortion and blurriness in underwater imageries, a hybrid Underwater Image Enhancement (UIE) method combining Adaptive Gray World Algorithm (GWA), Feature Fusion Attention Network (FFA-Net) and Unsharp Masking (USM) is proposed in this research. This method begins with color correction by applying different stretching processes to the RGB components based on the image's color information, and iteratively corrects the colors. Next, the corrected image undergoes dehazing via FFA-Net to eliminate underwater haze and improve clarity. Ultimately, USM is applied to amplify high-frequency components, thus enhancing edge details. Qualitative and quantitative comparisons demonstrate that the proposed Improved GWA FFA-Net USM (IGFU) method outperforms existing techniques in underwater image quality. |
| format | Article |
| id | doaj-art-6eeaaa5b47f5441fb5340d48f7bf497b |
| institution | OA Journals |
| issn | 2644-1268 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of the Computer Society |
| spelling | doaj-art-6eeaaa5b47f5441fb5340d48f7bf497b2025-08-20T02:15:32ZengIEEEIEEE Open Journal of the Computer Society2644-12682025-01-01629430610.1109/OJCS.2024.349269810767312IGFU: A Hybrid Underwater Image Enhancement Approach Combining Adaptive GWA, FFA-Net With USMXin Yuan0https://orcid.org/0000-0001-6616-9640Chenhui Wang1Xiaohong Chen2Mingxuan Wang3Ning Li4https://orcid.org/0000-0002-8567-4025Changli Yu5https://orcid.org/0000-0001-9593-3812School of Ocean Engineering, Harbin Institute of Technology, Harbin, ChinaSchool of Ocean Engineering, Harbin Institute of Technology, Harbin, ChinaSchool of Ocean Engineering, Harbin Institute of Technology, Harbin, ChinaSchool of Ocean Engineering, Harbin Institute of Technology, Harbin, ChinaSchool of Computer Science and Technology, Harbin Institute of Technology, Harbin, ChinaSchool of Ocean Engineering, Harbin Institute of Technology, Harbin, ChinaTo address the issue of color distortion and blurriness in underwater imageries, a hybrid Underwater Image Enhancement (UIE) method combining Adaptive Gray World Algorithm (GWA), Feature Fusion Attention Network (FFA-Net) and Unsharp Masking (USM) is proposed in this research. This method begins with color correction by applying different stretching processes to the RGB components based on the image's color information, and iteratively corrects the colors. Next, the corrected image undergoes dehazing via FFA-Net to eliminate underwater haze and improve clarity. Ultimately, USM is applied to amplify high-frequency components, thus enhancing edge details. Qualitative and quantitative comparisons demonstrate that the proposed Improved GWA FFA-Net USM (IGFU) method outperforms existing techniques in underwater image quality.https://ieeexplore.ieee.org/document/10767312/FFA-NetGWAUIEUSM |
| spellingShingle | Xin Yuan Chenhui Wang Xiaohong Chen Mingxuan Wang Ning Li Changli Yu IGFU: A Hybrid Underwater Image Enhancement Approach Combining Adaptive GWA, FFA-Net With USM IEEE Open Journal of the Computer Society FFA-Net GWA UIE USM |
| title | IGFU: A Hybrid Underwater Image Enhancement Approach Combining Adaptive GWA, FFA-Net With USM |
| title_full | IGFU: A Hybrid Underwater Image Enhancement Approach Combining Adaptive GWA, FFA-Net With USM |
| title_fullStr | IGFU: A Hybrid Underwater Image Enhancement Approach Combining Adaptive GWA, FFA-Net With USM |
| title_full_unstemmed | IGFU: A Hybrid Underwater Image Enhancement Approach Combining Adaptive GWA, FFA-Net With USM |
| title_short | IGFU: A Hybrid Underwater Image Enhancement Approach Combining Adaptive GWA, FFA-Net With USM |
| title_sort | igfu a hybrid underwater image enhancement approach combining adaptive gwa ffa net with usm |
| topic | FFA-Net GWA UIE USM |
| url | https://ieeexplore.ieee.org/document/10767312/ |
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