{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:07:20Z","timestamp":1753884440320,"version":"3.41.2"},"reference-count":27,"publisher":"World Scientific Pub Co Pte Ltd","issue":"09","funder":[{"name":"the Background of \u201cComprehensive Revitalization of Jilin in the New Era\u201d","award":["GH24382"],"award-info":[{"award-number":["GH24382"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2025,7]]},"abstract":"<jats:p> In response to the challenges of blur distortion, low contrast and color fading in underwater images, caused by complex environmental factors and light attenuation, this study presents a novel underwater image enhancement method that leverages the U-Net architecture and channel attention mechanism fusion generative adversarial network (GAN), named UAEGAN. UAEGAN is built on the framework of GAN, combining the U-Net structure with a channel attention mechanism to construct a generator network, reducing the loss of low-level information during feature extraction and enhancing image details. Additionally, the algorithm employs a PatchGAN discriminator, which improves image resolution and detail representation by performing fine-grained true\/false judgments on local image patches. Finally, the visual quality of the enhanced image is further optimized through the weighted fusion of multiple loss functions. Experimental results on the UIEB dataset indicate that UAEGAN outperforms the latest methods in terms of both visual quality and numerical metrics. The algorithm effectively enhances the clarity and visual quality of underwater images, providing strong support for subsequent underwater image processing tasks and applications. <\/jats:p>","DOI":"10.1142\/s0218001425550080","type":"journal-article","created":{"date-parts":[[2025,4,11]],"date-time":"2025-04-11T13:54:56Z","timestamp":1744379696000},"source":"Crossref","is-referenced-by-count":0,"title":["Underwater Image Enhancement Based on U-Net Architecture and Channel Attention Mechanism Fusion Generative Adversarial Network"],"prefix":"10.1142","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-2638-0680","authenticated-orcid":false,"given":"Gang","family":"Li","sequence":"first","affiliation":[{"name":"School of Mechanical Control Engineering, Baicheng Normal University, Baicheng 137000, P.\u00a0R.\u00a0China"},{"name":"Jilin Provincial Key Laboratory of Western Jilin's Clean Energy, Baicheng Normal University, Baicheng 137000, P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6891-3793","authenticated-orcid":false,"given":"Jiaqing","family":"Fan","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin 132000, P.\u00a0R.\u00a0China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-7990-8471","authenticated-orcid":false,"given":"Chenyu","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin 132000, P.\u00a0R.\u00a0China"}]}],"member":"219","published-online":{"date-parts":[[2025,6,5]]},"reference":[{"key":"S0218001425550080BIB002","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-023-01970-y"},{"key":"S0218001425550080BIB003","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460552"},{"key":"S0218001425550080BIB004","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2020.115892"},{"key":"S0218001425550080BIB005","first-page":"2672","volume":"27","author":"Goodfellow I.","year":"2014","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"S0218001425550080BIB006","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3120130"},{"key":"S0218001425550080BIB007","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2024.112308"},{"key":"S0218001425550080BIB008","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2019.102732"},{"key":"S0218001425550080BIB009","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"S0218001425550080BIB010","doi-asserted-by":"publisher","DOI":"10.1016\/S0146-664X(77)80011-7"},{"key":"S0218001425550080BIB011","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00221"},{"key":"S0218001425550080BIB012","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2974710"},{"key":"S0218001425550080BIB013","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"S0218001425550080BIB014","first-page":"2017","volume":"28","author":"Jaderberg M.","year":"2015","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"S0218001425550080BIB015","doi-asserted-by":"publisher","DOI":"10.1109\/48.50695"},{"key":"S0218001425550080BIB016","doi-asserted-by":"publisher","DOI":"10.12654\/JCS.2022.38.1.02"},{"key":"S0218001425550080BIB017","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2024.104068"},{"key":"S0218001425550080BIB018","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2024.104101"},{"key":"S0218001425550080BIB019","doi-asserted-by":"publisher","DOI":"10.1016\/j.displa.2022.102174"},{"key":"S0218001425550080BIB020","first-page":"5998","volume":"30","author":"Vaswani A.","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"S0218001425550080BIB021","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296508"},{"key":"S0218001425550080BIB022","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"S0218001425550080BIB023","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2022.116855"},{"key":"S0218001425550080BIB024","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106743"},{"key":"S0218001425550080BIB026","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2022.100510"},{"key":"S0218001425550080BIB027","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-03275-z"},{"key":"S0218001425550080BIB028","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/ac16ef"},{"key":"S0218001425550080BIB029","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2021.104171"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001425550080","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,20]],"date-time":"2025-06-20T08:08:00Z","timestamp":1750406880000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S0218001425550080"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,5]]},"references-count":27,"journal-issue":{"issue":"09","published-print":{"date-parts":[[2025,7]]}},"alternative-id":["10.1142\/S0218001425550080"],"URL":"https:\/\/doi.org\/10.1142\/s0218001425550080","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"type":"print","value":"0218-0014"},{"type":"electronic","value":"1793-6381"}],"subject":[],"published":{"date-parts":[[2025,6,5]]},"article-number":"2555008"}}