Application of Deep Learning in Underwater Image Processing
Underwater image processing is one of the key technologies driving advancements in fields such as marine biology, oceanography, underwater exploration, and more. Serving as a carrier of information, the quality of underwater images significantly impacts various applications. However, capturing high-...
Sábháilte in:
| Formáid: | Online |
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| Teanga: | Béarla |
| Foilsithe / Cruthaithe: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Ábhair: | |
| Rochtain ar líne: | ONIX_20260416T142754_9783725855858_33 |
| Clibeanna: |
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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| _version_ | 1869520869144920064 |
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| collection | Directory of Open Access Books |
| description | Underwater image processing is one of the key technologies driving advancements in fields such as marine biology, oceanography, underwater exploration, and more. Serving as a carrier of information, the quality of underwater images significantly impacts various applications. However, capturing high-quality underwater images is challenging due to complex and uncontrollable conditions. Common issues include color distortion, blurred details, low contrast and brightness, and noise. These problems hinder both human perception and practical applications. Furthermore, the unique properties of underwater imaging, such as its selective light absorption and scattering, make it difficult to achieve satisfactory results with the existing in-air methods or traditional underwater image processing techniques. In recent years, deep learning technologies have emerged as a game-changer in addressing these challenges and improving underwater image quality. These technologies provide new opportunities and insights, enhancing their applicability and reliability in real-world scenarios. This Special Issue aims to bring together leading researchers and practitioners from around the world to showcase their latest research findings and future directions in this dynamic field. |
| format | Online |
| id | doab-20.500.12854ir-174828 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1748282026-04-16T16:39:09Z Application of Deep Learning in Underwater Image Processing Yeh, Chia-Hung Wang, Chua-Chin Lin, Guo-Shiang Deep Learning Machine Learning Underwater Image Processing Underwater Vision Underwater Drones Autonomous Underwater Vehicles (AUVs) Ocean Information Engineering Ocean Observation Technologies Artificial Intelligence in the Underwater Environment thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Underwater image processing is one of the key technologies driving advancements in fields such as marine biology, oceanography, underwater exploration, and more. Serving as a carrier of information, the quality of underwater images significantly impacts various applications. However, capturing high-quality underwater images is challenging due to complex and uncontrollable conditions. Common issues include color distortion, blurred details, low contrast and brightness, and noise. These problems hinder both human perception and practical applications. Furthermore, the unique properties of underwater imaging, such as its selective light absorption and scattering, make it difficult to achieve satisfactory results with the existing in-air methods or traditional underwater image processing techniques. In recent years, deep learning technologies have emerged as a game-changer in addressing these challenges and improving underwater image quality. These technologies provide new opportunities and insights, enhancing their applicability and reliability in real-world scenarios. This Special Issue aims to bring together leading researchers and practitioners from around the world to showcase their latest research findings and future directions in this dynamic field. 2026-04-16T16:38:57Z 2026-04-16T16:38:57Z 2025 book ONIX_20260416T142754_9783725855858_33 9783725855858 9783725855865 https://directory.doabooks.org/handle/20.500.12854/174828 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/11707 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-5586-5 10.3390/books978-3-7258-5586-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725855858 9783725855865 212 CH open access |
| spellingShingle | Deep Learning Machine Learning Underwater Image Processing Underwater Vision Underwater Drones Autonomous Underwater Vehicles (AUVs) Ocean Information Engineering Ocean Observation Technologies Artificial Intelligence in the Underwater Environment thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Application of Deep Learning in Underwater Image Processing |
| title | Application of Deep Learning in Underwater Image Processing |
| title_full | Application of Deep Learning in Underwater Image Processing |
| title_fullStr | Application of Deep Learning in Underwater Image Processing |
| title_full_unstemmed | Application of Deep Learning in Underwater Image Processing |
| title_short | Application of Deep Learning in Underwater Image Processing |
| title_sort | application of deep learning in underwater image processing |
| topic | Deep Learning Machine Learning Underwater Image Processing Underwater Vision Underwater Drones Autonomous Underwater Vehicles (AUVs) Ocean Information Engineering Ocean Observation Technologies Artificial Intelligence in the Underwater Environment thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | Deep Learning Machine Learning Underwater Image Processing Underwater Vision Underwater Drones Autonomous Underwater Vehicles (AUVs) Ocean Information Engineering Ocean Observation Technologies Artificial Intelligence in the Underwater Environment thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20260416T142754_9783725855858_33 |