[1] [1] Weichao H, Zhi Y, Shangbin J, et al. Research on col image defogging algithm based on MSR CLAHE [C]2020 Chinese Automation Congress (CAC), 2020: 73017306.

[2] [2] Peng Dongliang, Wen Chenglin, Xue Anke. They Application of Multisens Multisource Infmation Fusion [M]. Beijing: Science Press, 2010. (in Chinese)

[3] [3] Yang Yuqing. Research on learning based superresolution reconstruction of single frame image [D]. Beijing: Beijing University of Technology, 2018. (in Chinese)

[4] Kewen Chen, Zuping Zhang, Jun Long. Research progress and new trends in multi-source information fusion. Computer Science, 40, 6-13(2013).

[5] [5] Zhang Haiyu. Research on superresolution reconstruction algithm of single frame image based on generative adversarial wk [D]. Xi''an: Shaanxi University of Science Technology, 2019. (in Chinese)

[6] Q Wu, J Zhang, W Ren, et al. Accurate transmission estimation for removing haze and noise from a single image. IEEE Transactions on Image Process, 29, 2583-2597(2020).

[7] Y Schechner, S G Narasimhan, S K Nayar. Polarization-based vision through haze. Appl Opt, 42, 511-525(2003).

[8] [8] Kudo Y, Kubota A. Image dehazing method by fusing weighted near infrared image [C]Proceedings of the International Wkshop on Advanced Image Technology (IWAIT), 2018: 12.

[9] [9] Gao X, Tian Y, Song F, et al. Research on the defogging algithm based on image enhancement [C]2021 3rd International Conference on Machine Learning, Big Data Business Intelligence (MLBDBI), 2021: 478481.

[10] [10] Huang Weichao, Yang Zhi, Jiao Shangbin, et al. Research on col image defogging algithm based on MSR CLAHE [C]2020 Chinese Automation Congress (CAC), 2020: 73017306.

[11] [11] Yang Jianneng. Research on optimization of image enhancement algithm based on histogram equalization [D]. Urumqi: Xinjiang University, 2021. (in Chinese)

[12] [12] Han Shaogang. Research on image enhancement algithm based on multihistogram equalization [D]. Anqing: Anqing Nmal University, 2020. (in Chinese)

[13] Shengkui Dai, Zheng Zhong, Zhengwei Huang. Double histogram equalization algorithm based on maximum entropy model. Acta Electronica Sinica, 47, 678-685(2019).

[14] [14] Patel S. Goswami comparative analysis of histogram equalization techniques [C]2014 International Conference on Contempary Computing Infmatics (IC3I), 2014: 167168.

[15] [15] Kim T K, Paik J K, Kang B S. Contrast enhancement system using spatially adaptive histogram equalization with tempal filtering[J]. IEEE Transactions on Consumer Electronics, 1998, 44(1): 8287.

[16] Haiqiong Wen, Jiancheng Li. Adaptive threshold image enhancement algorithm based on histogram equalization. China Integrated Circuits, 26, 135-136(2021).

[17] K Zuiderveld. Contrast limited adaptive histogram equalization. Graphics Gems, 39, 45-52(1994).

[18] E H Land. The retinex. American Scientist, 52, 247-264(1964).

[19] D J Jobson, Z Rahman. Properties and performance of a center/surround retinex. IEEE Transactions on Image Processing, 6, 451-462(1997).

[20] [20] Li Hua Shuo. Research on lowillumination image enhancement based on wavelet multiscale Retinex fusion algithm [D]. Beijing: China University of Mining Technology, 2021. (in Chinese)

[21] [21] Zhang H, Dai S, Image inpainting based on wavelet decomposition [C]2012 International Wkshop on Infmation Electronics Engineering (IWIEE), 2012, 29: 36743678.

[22] [22] He Xingzhen. Research on image restation algithm based on attention model wavelet decomposition [D]. Chengdu: Chengdu University of Technology, 2020. (in Chinese)

[23] Xin Wang, Pingping Xu, Fei Wu. Infrared image enhancement algorithm based on exponential homomorphic filtering coupled with detail sharpening rule. Journal of Electronic Measurement and Instrumentation, 35, 9-16(2021).

[24] Jingwei Dong, Chunli Zhao, Bo Hai. Research on image defogging algorithm based on fusion of homomorphic filter and Wavelet transform. Journal of Harbin University of Science and Technology, 24, 66-70(2019).

[25] Ke Zhang, Yulong Liao, Yalun Luo, et al. Infrared image enhancement algorithm based on improved homomorphic filter. Advances in Laser and Optoelectronics, 60, 63-69(2023).

[26] K He, J Sun, X Tang. Single image haze removal using dark channel prior. IEEE Trans Pattern Anal Mach Intell, 33, 2341-2353(2011).

[27] Y Tan, G Wang. Image haze removal based on super pixels and Markov random field. IEEE Access, 8, 60728-60736(2020).

[28] C Ancuti, C O Ancuti, C D Vleeschouwer, et al. Day and nighttime dehazing by local airlight estimation. IEEE Trans Image Process, 29, 6264-6275(2020).

[29] Q Zhu, J Mai, L Shao. A fast single image haze removal algorithm using color attenuation prior. IEEE Trans Image Process, 24, 3522-3533(2015).

[30] Zhang H Li, D Yuan, et al. Single image dehazing using the change of detail prior. Neurocomputing, 156, 1-11(2015).

[31] D Singh, V Kumar, M Kaur. Single image dehazing using gradient channel prior. Appl Intell, 49, 4276-4293(2019).

[32] Liang Chang, Xiaoming Deng, Mingquan Zhou, et al. Convolutional neural networks in image understanding. Journal of Autochemistry, 42, 1300-1312(2016).

[33] Zhongyuan Hu, Yu Xue, Jiajie Zha, et al. Survey on evolutionary recurrent neural networks. Computer Science, 50, 254-265(2023).

[34] [34] Liu Cuilian. Research on hyperspectral image classification based on CNN LSTM [D]. Chongqing: Chongqing University of Posts Telecommunications, 2022. (in Chinese)

[35] [35] Goodfellow I, PougetAbadie J, Mirza M, et al. Generative adversarial s [C]Neural Infmation Processing Systems, 2014.

[36] [36] Bengio Y, Courville A, Vincent P. Representation learning: A review new perspectives [C]Transactions on Pattern Analysis Machine Intelligence, 2013, 35(8): 17981828.

[37] Jun He, Caiqing Zhang, Xiaozhen Li, et al. Research review of multi-modal fusion technology for deep learning. Computer Engineering, 46, 1-11(2020).