Underwater image enhancement based on color correction and multi-scale fusion
Image Enhancement|更新时间:2024-08-16
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Underwater image enhancement based on color correction and multi-scale fusion
“In the field of underwater image enhancement, this study is based on Unet network, which introduces color correction and dual attention modules through multi-scale input and feature fusion, effectively improving image quality. The experimental results show that the algorithm outperforms other methods significantly on multiple datasets.”
Chinese Journal of Liquid Crystals and DisplaysVol. 39, Issue 8, Pages: 1046-1056(2024)
作者机构:
重庆邮电大学 通信与信息工程学院, 重庆 400065
作者简介:
基金信息:
National Key Research and Development Plan(2019YFB2102001)
TAO Yang, WU Ping, LIU Yuting, et al. Underwater image enhancement based on color correction and multi-scale fusion[J]. Chinese journal of liquid crystals and displays, 2024, 39(8): 1046-1056.
DOI:
TAO Yang, WU Ping, LIU Yuting, et al. Underwater image enhancement based on color correction and multi-scale fusion[J]. Chinese journal of liquid crystals and displays, 2024, 39(8): 1046-1056. DOI: 10.37188/CJLCD.2023-0274.
Underwater image enhancement based on color correction and multi-scale fusion