[1] Jin W P, Guo J C, Qi Q. Underwater image enhancement based on conditional generative adversarial network[J]. Laser & Optoelectronics Progress, 57, 141002(2020).

[2] Zhang Q B, Zhang X H, Han H W. Backscattered light repairing method for underwater laser image based on improved generative adversarial network[J]. Laser & Optoelectronics Progress, 56, 041004(2019).

[3] Zuo G R, Yin B, Wang X et al. Research on underwater image enhancement technology based on generative adversative networks[C]. //DEStech Transactions on Computer Science and Engineering, April 22-23, 2018, Beijing, China. [S.l.: s.n.](2018).

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

[5] Zou P Y, Zhang W D, Shi J Y et al. Underwater image enhancement algorithm based on fusion of high and low frequency components[J]. Laser & Optoelectronics Progress, 57, 161010(2020).

[6] Cai C D, Huo G Y, Zhou Y et al. Underwater image restoration method based on scene depth estimation and white balance[J]. Laser & Optoelectronics Progress, 56, 031008(2019).

[7] Deng G. A generalized unsharp masking algorithm[J]. IEEE Transactions on Image Processing, 20, 1249-1261(2011).

[8] Ancuti C, Ancuti C O, Haber T et al. Enhancing underwater images and videos by fusion[C]. //012 IEEE Conference on Computer Vision and Pattern Recognition, June 16-21, 2012, Providence, RI, USA., 81-88(2012).

[9] Ancuti C O, Ancuti C, de Vleeschouwer C et al. Color balance and fusion for underwater image enhancement[J]. IEEE Transactions on Image Processing, 27, 379-393(2018).

[10] He K M, Sun J, Tang X O. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33, 2341-2353(2011).

[11] Sung M, Yu S C, Girdhar Y. Vision based real-time fish detection using convolutional neural network[C]. //OCEANS 2017-Aberdeen, June 19-22, 2017, Aberdeen, UK., 1-6(2017).

[12] Liu S S, Li X Y, Gao M S et al. Embedded online fish detection and tracking system via YOLOv3 and parallel correlation filter[C]. //OCEANS 2018 MTS/IEEE Charleston, October 22-25, 2018, Charleston, SC, USA., 1-6(2018).

[13] Han F L, Yao J Z, Zhu H T et al. Underwater image processing and object detection based on deep CNN method[J]. Journal of Sensors, 2020, 1-20(2020).

[14] Xie W L, Li H Z, Zhou H et al. Fish dying on the basis of convolution neural network and transfer learning[J]. Journal of Chinese Agricultural Mechanization, 40, 186-192(2019).

[15] Jobson D J, Rahman Z, Woodell G A. A multiscale Retinex for bridging the gap between color images and the human observation of scenes[J]. IEEE Transactions on Image Processing, 6, 965-976(1997).

[16] Zhang S, Wang T, Dong J Y et al. Underwater image enhancement via extended multi-scale Retinex[J]. Neurocomputing, 245, 1-9(2017).

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

[18] Ronneberger O, Fischer P, Brox T. U-net: convolutional networks for biomedical image segmentation[M]. //Navab N, Hornegger J, Wells W M, et al. Medical image computing and computer-assisted intervention-MICCAI 2015. Lecture notes in computer science, 9351, 234-241(2015).

[19] Zuiderveld K. Contrast limited adaptive histogram equalization[M]. //Heckbert P S. Graphics Gems, 474-485(1994).

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

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

[22] Chen X G, Hu J Q. Underwater image enhancement based on color correction and detail preservation[J]. Laser & Optoelectronics Progress, 57, 241013(2020).