[1] T NOZAKI, T NAGASE, T USHIKUBO et al. Microbial sulfate reduction plays an important role at the initial stage of subseafloor sulfide mineralization. Geology, 49, 222-227(2021).

[2] R K SINHA, K P KRISHNAN, F A THOMAS et al. Polyphasic approach revealed complex bacterial community structure and function in deep sea sediment of ultra-slow spreading Southwest Indian Ridge. Ecological Indicators, 96, 40-51(2019).

[3] R NIKOLAUS, J W AMMERMAN, I R MACDONALD. Distinct pigmentation and trophic modes in beggiatoa from hydrocarbon seeps in the gulf of Mexico. Aquatic Microbial Ecology, 32, 85-93(2003).

[4] R ZHANG, X Y GUI, H Y CHENG et al. Underwater image recovery utilizing polarimetric imaging based on neural networks. Applied Optics, 60, 8419(2021).

[5] S C WU, T LUO, G Y JIANG et al. A two-stage underwater enhancement network based on structure decomposition and characteristics of underwater imaging. IEEE Journal of Oceanic Engineering, 46, 1213-1227(2021).

[6] R Y HAN, Y GUAN, Z B YU et al. Underwater image enhancement based on a spiral generative adversarial framework. IEEE Access, 8, 218838-218852(2020).

[7] X H ZONG, Z H CHEN, D D WANG. Local-CycleGAN： a general end-to-end network for visual enhancement in complex deep-water environment. Applied Intelligence, 51, 1947-1958(2021).

[8] X Y FU, X Y CAO. Underwater image enhancement with global-local networks and compressed-histogram equalization. Signal Processing： Image Communication, 86, 115892(2020).

[9] 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).

[10] [10] 10褚金奎， 张培奇， 成昊远， 等. 基于特定偏振态成像的水下图像去散射方法［J］. 光学 精密工程， 2021， 29（5）： 1207-1215. doi: 10.37188/OPE.20212905.1207CHUJ K， ZHANGP Q， CHENGH Y， et al. De-scattering method of underwater image based on imaging of specific polarization state［J］. Opt. Precision Eng.， 2021， 29（5）： 1207-1215.（in Chinese）. doi: 10.37188/OPE.20212905.1207

[11] P X ZHUANG, X H DING. Underwater image enhancement using an edge-preserving filtering Retinex algorithm. Multimedia Tools and Applications, 79, 17257-17277(2020).

[12] J Y ZHU, T PARK, P ISOLA et al. Unpaired image-to-image translation using cycle-consistent adversarial networks, 2242-2251(2017).

[13] [13] 13杜振龙， 沈海洋， 宋国美， 等. 基于改进CycleGAN的图像风格迁移［J］. 光学 精密工程， 2019， 27（8）： 1836-1844. doi: 10.3788/ope.20192708.1836DUZ L， SHENH Y， SONGG M， et al. Image style transfer based on improved CycleGAN［J］. Opt. Precision Eng.， 2019， 27（8）： 1836-1844.（in Chinese）. doi: 10.3788/ope.20192708.1836

[14] J Y LU, N LI, S Y ZHANG et al. Multi-scale adversarial network for underwater image restoration. Optics & Laser Technology, 110, 105-113(2019).

[15] F LIU, P L HAN, Y WEI et al. Deeply seeing through highly turbid water by active polarization imaging. Optics Letters, 43, 4903-4906(2018).

[16] K O AMER, M ELBOUZ, A ALFALOU. Phase Contrast Enhancement Combined with Dark Channel Prior for Underwater Target Recognition. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 74-81(2018).

[17] [17] 17聂瑛， 何志毅. 不同波长光源照明的水下成像及光学图像实时处理［J］. 光学学报， 2014， 34（7）： 0710002. doi: 10.3788/aos201434.0710002NIEY， HEZ Y. Underwater imaging and real-time optical image processing under illumination by light sources with different wavelengths［J］. Acta Optica Sinica， 2014， 34（7）： 0710002.（in Chinese）. doi: 10.3788/aos201434.0710002

[18] [18] 18王卫星， 赵恒. 结合改进Retinex及自适应分数阶微分的雾霾公路交通图像增强［J］. 光学 精密工程， 2020， 28（8）： 1820-1834. doi: 10.3788/OPE.20202808.1820WANGW X， ZHAOH. Haze traffic image enhancement based on improved retinex and adaptive fractional differential［J］. Opt. Precision Eng.， 2020， 28（8）： 1820-1834.（in Chinese）. doi: 10.3788/OPE.20202808.1820

[19] [19] 19王冬云， 唐楚， 鄂世举， 等. 基于导向滤波Retinex和自适应Canny的图像边缘检测［J］. 光学 精密工程， 2021， 29（2）： 443-451. doi: 10.37188/OPE.20212902.0443WANGD Y， TANGC， ES J， et al. Image edge detection based on guided filter Retinex and adaptive Canny［J］. Opt. Precision Eng.， 2021， 29（2）： 443-451.（in Chinese）. doi: 10.37188/OPE.20212902.0443

[20] A HORÉ, D ZIOU. Image quality metrics： PSNR vs. SSIM, 2366-2369(2010).

[21] M YANG, A SOWMYA. An underwater color image quality evaluation metric. IEEE Transactions on Image Processing, 24, 6062-6071(2015).