[1] Huang D M, Wang Y, Song W et al. Underwater image enhancement method using adaptive histogram stretching in different color models[J]. Journal of Image and Graphics, 23, 640-651(2018).
[2] Liu X, Zhang H, Cheung Y M et al. Efficient single image dehazing and denoising: an efficient multi-scale correlated wavelet approach[J]. Computer Vision and Image Understanding, 162, 23-33(2017).
[3] Dai C G, Lin M X, Wang Z et al. Color compensation based on bright channel and fusion for underwater image enhancement[J]. Acta Optica Sinica, 38, 1110003(2018).
[5] Lin S, Chi K C, Li W T et al. Underwater optical image enhancement based on dominant feature image fusion[J]. Acta Photonica Sinica, 49, 0310003(2020).
[6] 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).
[7] McGlamery B L. A computer model for underwater camera systems[J]. Proceedings of SPIE, 208, 221-231(1980).
[9] Emberton S, Chittka L, Cavallaro A. Underwater image and video dehazing with pure haze region segmentation[J]. Computer Vision and Image Understanding, 168, 145-156(2018).
[10] Xie H L, Peng G H, Wang F et al. Underwater image restoration based on background light estimation and dark channel prior[J]. Acta Optica Sinica, 38, 0101002(2018).
[11] Peng Y T, Cosman P C. Underwater image restoration based on image blurriness and light absorption[J]. IEEE Transactions on Image Processing, 26, 1579-1594(2017).
[12] Wang Y, Liu H, Chau L P. Single underwater image restoration using adaptive attenuation-curve prior[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 65, 992-1002(2018).
[13] Hou M J, Liu R S, Fan X et al. Joint residual learning for underwater image enhancement[C]. //2018 25th IEEE International Conference on Image Processing (ICIP), October 7-10, 2018, Athens, Greece., 4043-4047(2018).
[14] Pan P W, Yuan F, Cheng E. Underwater image de-scattering and enhancing using dehazenet and HWD[J]. Journal of marine ence and technology, 26, 531-540(2018).
[15] Yu X L, Qu Y Y, Hong M. Underwater-GAN: underwater image restoration via conditional generative adversarial network[M]. //Zhang Z, Suter D, Tian Y, et al. Pattern recognition and information forensics. Lecture notes in computer science, 11188, 66-75(2018).
[16] Rudin L I, Osher S, Fatemi E. Nonlinear total variation based noise removal algorithms[J]. Physica D: Nonlinear Phenomena, 60, 259-268(1992).
[17] Gao Y M, Yang X P. A cartoon-texture approach for JPEG/JPEG 2000 decompression based on TGV and shearlet transform[J]. IEEE Transactions on Image Processing, 28, 1356-1365(2019).
[18] Li J M, Hou G J, Pan Z K et al. Underwater image restoration based on a Laplace operator prior term[J]. Laser & Optoelectronics Progress, 57, 161026(2020).
[20] Li C Y, Guo J C, Cong R M et al. Underwater image enhancement by dehazing with minimum information loss and histogram distribution prior[J]. IEEE Transactions on Image Processing, 25, 5664-5677(2016).
[21] 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).
[22] Pan J S, Sun D Q, Pfister H et al. Deblurring images via dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40, 2315-2328(2018).
[23] Galdran A, Pardo D, Picón A et al. Automatic red-channel underwater image restoration[J]. Journal of Visual Communication and Image Representation, 26, 132-145(2015).
[24] Zhou Y P, Komodakis N. A MAP-estimation framework for blind deblurring using high-level edge priors[M]. //Fleet D, Pajdla T, Schiele B, et al. Computer vision-ECCV 2014. Lecture notes in computer science, 8690, 142-157(2014).
[25] Xu L, Zheng S C, Jia J Y. Unnatural L0 sparse representation for natural image deblurring[C]. //2013 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2013, Portland, OR, USA., 1107-1114(2013).
[26] Liu R S, Fan X, Zhu M et al. Real-world underwater enhancement: challenges, benchmarks, and solutions under natural light[J]. IEEE Transactions on Circuits and Systems for Video Technology, 30, 4861-4875(2020).
[27] Yang M, Sowmya A. An underwater color image quality evaluation metric[J]. IEEE Transactions on Image Processing, 24, 6062-6071(2015).
[28] Moorthy A K, Bovik A C. A two-step framework for constructing blind image quality indices[J]. IEEE Signal Processing Letters, 17, 513-516(2010).
[29] Ferzli R, Karam L J. A no-reference objective image sharpness metric based on the notion of just noticeable blur (JNB)[J]. IEEE Transactions on Image Processing, 18, 717-728(2009).