[1] [1] LIU K, PENG L, TANG S. Underwater object detection using TC-YOLO with attention mechanisms[J]. Sensors, 2023, 23(5): 2567.

[2] [2] LIU Z, ZHUANG Y, JIA P, et al. A novel underwater image enhancement algorithm and an improved underwater biological detection pipeline[J]. Journal of Marine Science and Engineering, 2022, 10(9): 1204.

[4] [4] Alenezi F, Armghan A, Santosh K. Underwater image dehazing using global color features[J]. Engineering Applications of Artificial Intelligence, 2022, 116: 105489.

[5] [5] ZHENG M, LUO W. Underwater image enhancement using improved CNN based defogging[J]. Electronics, 2022, 11(1): 150.

[6] [6] ZHOU J, ZHANG D, ZHANG W. Underwater image enhancement method via multi-feature prior fusion[J]. Applied Intelligence, 2022, 52(14): 16435-16457.

[7] [7] Ghani A S A, Isa N A M. Underwater image quality enhancement through integrated color model with Rayleigh distribution[J]. Applied Soft Computing, 2015, 27: 219-230.

[8] [8] Ancuti C, Ancuti C O, Haber T, et al. Enhancing underwater images and videos by fusion[C]//IEEE Conference on Computer Vision and Pattern Recognition, 2012: 81-88.

[10] [10] LI C, Anwar S, Porikli F. Underwater scene prior inspired deep underwater image and video enhancement[J]. Pattern Recognition, 2020, 98: 107038.

[11] [11] LI C, Anwar S, Hou J, et al. Underwater image enhancement via medium transmission-guided multi-color space embedding[J]. IEEE Transactions on Image Processing, 2021, 30: 4985-5000.

[12] [12] GONG T Y, ZHANG M M, ZHOU Y, et al. Underwater image enhancement based on color feature fusion[J]. Electronics, 2023, 12(24): 4999.

[13] [13] LIU R, JIANG Z, YANG S, et al. Twin adversarial contrastive learning for underwater image enhancement and beyond[J]. IEEE Transactions on Image Processing, 2022, 31: 4922-4936.

[14] [14] QI Q, LI K, ZHENG H, et al. SGUIE-Net: Semantic attention guided underwater image enhancement with multi-scale perception[J]. IEEE Transactions on Image Processing, 2022, 31: 6816-6830.

[15] [15] SUN S, WANG H, ZHANG H, et al. Underwater image enhancement with reinforcement learning[J]. IEEE Journal of Oceanic Engineering, 2024, 49(1): 249-261.

[16] [16] PENG L, ZHU C, BIAN L. U-Shape transformer for underwater image enhancement[J]. IEEE Transactions on Image Processing, 2023, 32: 3066-3079.

[17] [17] Avcibas I, Sankur B, Sayood K. Statistical evaluation of image quality measures[J]. J. Electron. Imag., 2002, 11(2): 206-223.

[18] [18] WANG Z, Bovik A C, Sheikh H R, et al. Image quality assessment: from error visibility to structural similarity[J]. IEEE Trans. Image Process., 2004, 13(4): 600-612.

[19] [19] Panetta K, GAO C, Agaian S. Human-visual-system-inspired underwater image quality measures[J]. IEEE Journal of Oceanic Engineering, 2016, 41(3): 541-551.

[20] [20] Islam M J, XIA Y, Sattar J. Fast underwater image enhancement for improved visual perception[J]. IEEE Robotics and Automation Letters, 2020, 5(2): 3227-3234.

[21] [21] LI C, GUO C, REN W, et al. An underwater image enhancement benchmark dataset and beyond[J]. IEEE Transactions on Image Processing, 2020, 29: 4376-4389.

[22] [22] Drews P L, Nascimento E R, Botelho S S, et al. Underwater depth estimation and image restoration based on single images[J]. IEEE Comput. Graph. Appl., 2016, 36(2): 24-35.

[23] [23] PENG Y T, Cosman P C. Underwater image restoration based on image blurriness and light absorption[J]. IEEE Transactions on Image Processing, 2017, 26(4): 1579-1594.

[24] [24] SONG W, WANG Y, HUANG D M, et al. Arapid scene depth estimation model based on underwater light attenuation prior for underwater image restoration[C]//Proceedings of 2018 Advances in Multimedia Information Processing, 2018: 678-688.

[25] [25] Zuiderveld K J. Contrast Limited Adaptive Histogram Equalization[C]//Proceedings of the Graphics Gems, 1994: 474-485.

[26] [26] LIU S, FAN H, LIN S, et al. Adaptive learning attention network for underwater image enhancemen [J]. IEEE Rob Autom Lett., 2022, 7(2): 5326-5333.