{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T06:26:31Z","timestamp":1771482391404,"version":"3.50.1"},"reference-count":44,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T00:00:00Z","timestamp":1753228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Owing to the intricate variability of underwater environments, images suffer from degradation including light absorption, scattering, and color distortion. However, U-Net architectures severely limit global context utilization due to fixed-receptive-field convolutions, while traditional attention mechanisms incur quadratic complexity and fail to efficiently fuse spatial\u2013frequency features. Unlike local enhancement-focused methods, HMENet integrates a transformer sub-network for long-range dependency modeling and dual-domain attention for bidirectional spatial\u2013frequency fusion. This design increases the receptive field while maintaining linear complexity. On UIEB and EUVP datasets, HMENet achieves PSNR\/SSIM of 25.96\/0.946 and 27.92\/0.927, surpassing HCLR-Net by 0.97 dB\/1.88 dB, respectively.<\/jats:p>","DOI":"10.3390\/info16080627","type":"journal-article","created":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T11:52:47Z","timestamp":1753271567000},"page":"627","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Multi-Domain Enhanced Network for Underwater Image Enhancement"],"prefix":"10.3390","volume":"16","author":[{"given":"Tianmeng","family":"Sun","sequence":"first","affiliation":[{"name":"College of Electronic Information, Qingdao University, Qingdao 260000, China"}]},{"given":"Yinghao","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Electronic Information, Qingdao University, Qingdao 260000, China"}]},{"given":"Jiamin","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Electronic Information, Qingdao University, Qingdao 260000, China"}]},{"given":"Haiyuan","family":"Cui","sequence":"additional","affiliation":[{"name":"College of Electronic Information, Qingdao University, Qingdao 260000, China"}]},{"given":"Teng","family":"Yu","sequence":"additional","affiliation":[{"name":"College of Electronic Information, Qingdao University, Qingdao 260000, China"}]}],"member":"1968","published-online":{"date-parts":[[2025,7,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"4985","DOI":"10.1109\/TIP.2021.3076367","article-title":"Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding","volume":"30","author":"Li","year":"2021","journal-title":"IEEE Trans. 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