Underwater image enhancement using joint texture perception and color histogram features

Guoming YUAN; Haijun LIU; Xiaoli LI; Ruilei ZHANG; Weifeng SHAN

doi:10.37188/OPE.20243213.2112

Optics and Precision Engineering, Volume. 32, Issue 13, 2112(2024)

Underwater image enhancement using joint texture perception and color histogram features

Guoming YUAN*... Haijun LIU, Xiaoli LI, Ruilei ZHANG and Weifeng SHAN |Show fewer author(s)

Author Affiliations

Department of emergency management， Institute of Disaster Prevention， Sanhe065201， China

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References(12)

[1] [1] 王昊天，刘庆省，陈亮，等. 改进的CycleGAN网络用于水下显微图像颜色校正［J］. 光学精密工程， 2022， 30（12）： 1499-1508. doi: 10.37188/OPE.20223012.1499WANGH T， LIUQ SH， CHENL， et al. Improved CycleGAN network for underwater microscopic image color correction［J］. Opt. Precision Eng.， 2022， 30（12）： 1499-1508.（in Chinese）. doi: 10.37188/OPE.20223012.1499

[2] P L J DREWS, E R NASCIMENTO, S S C BOTELHO et al. Underwater depth estimation and image restoration based on single images. IEEE Computer Graphics and Applications, 36, 24-35(2016).

[3] W SONG, Y WANG, D M HUANG et al. Enhancement of underwater images with statistical model of background light and optimization of transmission map. IEEE Transactions on Broadcasting, 66, 153-169(2020).

[4] X J LI, G J HOU, L TAN et al. A hybrid framework for underwater image enhancement. IEEE Access, 8, 197448-197462(2020).

[5] [5] 胡振宇，陈琦，朱大奇. 基于颜色平衡和多尺度融合的水下图像增强［J］. 光学精密工程， 2022， 30（17）： 2133-2146. doi: 10.37188/OPE.20223017.2133HUZH Y， CHENQ， ZHUD Q. Underwater image enhancement based on color balance and multi-scale fusion［J］. Opt. Precision Eng.， 2022， 30（17）： 2133-2146.（in Chinese）. doi: 10.37188/OPE.20223017.2133

[6] S ANWAR, C LI, F PORKLI. Deep underwater image enhancement. arXiv preprint arXiv, 2018.

[7] C Y LI, C L GUO, W Q REN et al. An underwater image enhancement benchmark dataset and beyond. IEEE Transactions on Image Processing(2019).

[8] N WANG, Y B ZHOU, F HAN et al. UWGAN： underwater GAN for real-world underwater color restoration and dehazing. arXiv preprint arXiv, 10269(1912).

[9] Z Y MA. A wavelet-based dual-stream network for underwater image enhancement, 23, 2769-2773(2022).

[10] S B LIU, H J FAN, S LIN et al. Adaptive learning attention network for underwater image enhancement. IEEE Robotics and Automation Letters, 7, 5326-5333(2022).

[11] T D REN, H Y XU, G Y JIANG et al. Reinforced swin-convs transformer for simultaneous underwater sensing scene image enhancement and super-resolution. IEEE Transactions on Geoscience and Remote Sensing, 60, 3205061(2022).

[12] L T PENG, C L ZHU, L H BIAN. U-shape transformer for underwater image enhancement. IEEE Transactions on Image Processing, 32, 3066-3079(2023).

CLP Journals

[1] Zhuming CHENG, Jiaxuan LI, San'ao HUANG, Lichao HAN, Peizhen WANG. Underwater image enhancement based on multi-branch residual attention network[J]. Optics and Precision Engineering, 2025, 33(7): 1141

[2] Zhuming CHENG, Jiaxuan LI, San'ao HUANG, Lichao HAN, Peizhen WANG. Underwater image enhancement based on multi-branch residual attention network[J]. Optics and Precision Engineering, 2025, 33(7): 1141

[3] Tingting YAO, Zihao FENG, Hengxin ZHAO. Underwater image enhancement by integrating domain transfer and attention mechanisms[J]. Optics and Precision Engineering, 2025, 33(2): 298

[4] Tingting YAO, Zihao FENG, Hengxin ZHAO. Underwater image enhancement by integrating domain transfer and attention mechanisms[J]. Optics and Precision Engineering, 2025, 33(2): 298

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Guoming YUAN, Haijun LIU, Xiaoli LI, Ruilei ZHANG, Weifeng SHAN. Underwater image enhancement using joint texture perception and color histogram features[J]. Optics and Precision Engineering, 2024, 32(13): 2112

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