[1] C ANCUTI, V DE, P BEKAERT. Color balance and fusion for underwater image enhancement. IEEE Transactions on Image Processing, 27, 379-393(2018).
[2] J JAFFE. Computer modeling and the design of optimal underwater imaging systems. IEEE Journal of Oceanic Engineering, 15, 101-111(1990).
[5] COLEMAN D, NEWMAN J, BALLARD R. Design implementation of advanced underwater imaging systems f deep sea marine archaeological surveys[C]. IEEE Oceans, 2000, 1: 661665.
[6] A ORTIZ, M SIMO, G OLIVER. A vision system for an underwater cable tracker. Machine Vision and Applications, 13, 129-140(2002).
[7] G BAILEY, N FLEMMING. Archaeology of the continental shelf:Marine resources, submerged landscapes and underwater archaeology. Quaternary Science Reviews, 27, 2153-2165(2008).
[9] HE Kaiming, SUN Jian, TANG Xiaoou. Single image haze removal using dark channel pri[C]. IEEE Conference on Computer Vision & Pattern Recognition, 2009, 33: 23412353.
[13] J CHIANG, Ying-ching CHEN. Underwater image enhancement by wavelength compensation and dehazing. IEEE Transactions on Image Processing, 21, 1756-1769(2012).
[14] Xin-wei ZHAO, Jin TAO, Qu SONG. Deriving inherent optical properties from background color and underwater image enhancement. Ocean Engineering, 94, 163-172(2015).
[15] Ping-li HAN, Fei LIU, Kui YANG. Active underwater descattering and image recovery. Applied Optics, 56, 6631-6638(2017).
[18] A RIZZI, C GATTA, D MARINI. A new algorithm for unsupervised global and local color correction. Pattern Recognition Letters, 24, 1663-1677(2003).
[19] J WEIJER, T GEVERS, A GIJSENIJ. Edge-based color constancy. IEEE Transactions on Image Processing, 16, 2207-2214(2010).
[20] Wang-pan PAN, Fei YUAN, En CHENG. De-scattering and edge-enhancement algorithms for underwater image restoration. Frontiers of Information Technology Electronic Engineering, 20, 862-871(2019).
[21] B MCGLAMERY. A computer model for underwater camera systems. Society of Photo-Optical Instrumentation Engineers, 208, 221-231(1980).
[23] Mo-hua ZHANG, Jian-hua PENG. Underwater image restoration based on a new underwater image formation model. IEEE Access, 6, 58634-58644(2018).
[24] Xiang-yu DENG, Hui-gang WANG, Xing LIU. Underwater image enhancement based on removing light source color and dehazing. IEEE Access, 7, 114297-114309(2019).
[25] Xue-yang FU, Ying-hao LIAO, De-lu ZENG. A probabilistic method for image enhancement with simultaneous illumination and reflectance estimation. IEEE Transactions on Image Processing, 24, 4965-4977.
[26] Hui-ming LU, Yu-jie LI, Li-feng ZHANG. Contrast enhancement for images in turbid water. Journal of the Optical Society of America A Optics Image Science Vision, 32, 886-893(2015).
[28] A GALDRAN, D PARDO, A PICON. Automatic red-channel underwater image restoration. Journal of Visual Communication Image Representation, 26, 132-145(2015).
[29] Yan-tsung PENG, P COSMAN. Underwater image restoration based on image blurriness and light absorption. IEEE Transactions on Image Processing, 26, 1579-1594(2017).
[31] YANG Kaifu, GAO Shaobing, LI Yongjie. Efficient illuminant estimation f col constancy using grey pixels[C]. IEEE Conference on Computer Vision Pattern Recognition, 2015, 22542263.
[32] Bo-lun CAI, Xiang-min XU, Kui JIA. DehazeNet:an end-to-end system for single image haze removal. IEEE Transactions on Image Processing, 25, 5187-5198(2016).
[33] S SALAZAR, I CRUZ. Single image dehazing using a multilayer perceptron. Journal of Electronic Imaging, 27, 043022(2018).
[34] HE Jiaxi, ZHANG Cishen, YANG Ran, et al. Convex optimization f fast image dehazing[C]. IEEE International Conference on Image Processing, 2016, 22462250.
[35] Miao YANG, A SOWMYA. An underwater color image quality evaluation metric. IEEE Transactions on Image Processing, 24, 6062-6071(2015).