Underwater image enhancement network based on improved U-Net with global feature fusion
Information Sciences|更新时间:2026-03-05
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Underwater image enhancement network based on improved U-Net with global feature fusion
“Experts propose an improved U-Net global feature fusion enhancement network to address the issue of color deviation and blurred details caused by scattering attenuation in underwater images. The network has been tested on the UIEB and LSUI datasets and has shown significant results, providing a new solution for improving the quality of underwater images.”
Optics and Precision EngineeringVol. 34, Issue 2, Pages: 322-335(2026)
GAO Shaoshu,JIAO Guangsen,LI Guangfeng,et al.Underwater image enhancement network based on improved U-Net with global feature fusion[J].Optics and Precision Engineering,2026,34(02):322-335.
GAO Shaoshu,JIAO Guangsen,LI Guangfeng,et al.Underwater image enhancement network based on improved U-Net with global feature fusion[J].Optics and Precision Engineering,2026,34(02):322-335. DOI: 10.37188/OPE.20263402.0322. CSTR: 32169.14.OPE.20263402.0322.
Underwater image enhancement network based on improved U-Net with global feature fusion