[1] [1] CHEN C, CHEN Q, XU J, et al. Learning to see in the dark [C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, 2018.

[2] Gaiyun WANG, Zhichao GUO, Haoxiang LU et al. Multi-domain block low-illuminance image enhancement algorithm combined with genetic algorithm. Acta Photonica Sinica, 51, 0410007(2022).

[3] Huijuan TIAN, Minpeng CAI, Tao GUAN et al. Low-light image enhancement method using retinex method based on ycbcr color space. Acta Photonica Sinica, 49, 0210002(2020).

[4] Qian CHEN. Discussions on the development of advanced night vision imaging technology. Infrared and Laser Engineering, 51, 20220128(2022).

[5] [5] MA L, MA T, LIU R, et al. Toward fast, flexible, robust lowlight image enhancement [C]IEEECVF Conference on Computer Vision Pattern Recognition, 2022: 56275636.

[6] M ABDULLAH-AL-WADUD, M H KABIR, M A A DEWAN et al. A dynamic histogram equalization for image contrast enhancement, 53, 593-600(2007).

[7] W ZHANG, L DONG, T ZHANG et al. Enhancing underwater image via color correction and bi-interval contrast enhancement. Signal Processing: Image Communication, 90, 116030(2021).

[8] [8] STIMPER V, BAUER S, ERNSTFER R, et al. Multidimensional contrast limited adaptive histogram equalization[J]. IEEE Access , 2019, 7: 165437165447.

[9] E H LAND. The Retinex theory of color vision. Scientific American, 237, 108-129(1977).

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

[11] [11] MA Q, WANG Y, ZENG T. Retinexbased variational framewk f lowlight image enhancement denoising [J] IEEE Transactions on Multimedia , 2023, 25: 55805588.

[12] [12] WANG Wenyun, SHU Chenyang, ZHU Longtao, et al. Lowillumination image enhancement based on retinex an gamma transfm [J] Journal of Hunan University (Natural Sciences ) , 2024,51(10): 136144. (in Chinese)

[13] [13] REN W, LIU S, MA L, et al. Lowlight image enhancement via a deep hybrid wk [J] IEEE Transactions on Image Processing , 2019, 28(9): 43644375.

[14] X WANG, Y ZHAI, X MA et al. Low-light image enhancement based on GAN with attention mechanism and color Constancy. Multimedia Tools and Applications, 83, 3133-3151(2022).

[15] Chaoyue XU, Ying YU, Penghao HE et al. Multi-scale low-light image enhancement network based on U-Net. Computer Engineering, 48, 215-223(2022).

[16] Hongqiang MA, Shiping MA, Yuelei XU et al. Low-light image enhancement based on deep convolutional neural network. Acta Optica Sinica, 39, 0210004-.(2019).

[17] [17] WU W. WENG J. ZHANG P, et al. URetinex: Retinexbased deep unfolding wk f lowlight image enhancement [C]IEEECVF Conference on Computer Vision Pattern Recognition (CVPR), 2022: 59015910.

[18] Liu KE, Xujian LI. De-hazing and enhancement methods for underwater and low-light images. Acta Optica Sinica, 40, 1910003(2020).

[19] A AGGARWAL, M MITTAL, G BATTINENI. Generative adversarial network: An overview of theory and applications. International Journal of Information Management Data Insights, 1, 100004(2021).

[20] [20] ZHANG Boxuan, WANG Shaobo, Zhao Tianbai, et al. Underwater acoustic target classification based on adversarial residual neural wk in complex marine conditions [J]. Radio Engineering , 2024, 54(10): 23552361. (in Chinese)

[21] [21] WANG X, YU K, WU S, et al. ESRGAN: Enhanced superresolution generative adversarial wks [C]Proceedings of the European Conference on Computer Vision (ECCV) Wkshops, 2018: 6379.

[22] Ruibin WANG, Shizhong YANG, Sheng GAO. Strawberry detection combining residual network with attention mechanism. Journal of Chinese Agricultural Mechanization, 45, 266-273(2024).

[23] G WAN, H FANG, D WANG et al. Ceramic tile surface defect detection based on deep learning. Ceramics International, 48, 11085-11093(2022).

[24] Liangliang YAO, Taihong ZHANG, Yangning ZHANG et al. Single-parameter channel attention module. Computer Technology and Development, 33, 215-220(2023).

[25] Min MA, Huan WU. ECT image reconstruction based on parallel adaptive residual network with CBAM. Acta Metrologica Sinica, 45, 214-221(2024).

[26] [26] LI X, WANG W, HU X, et al. ive kernel wks [C]Proceedings of the IEEECVF CONFErence on Computer Vision Pattern Recognition, 2019: 510519.

[27] Zhendong XU, Tianyu ZHANG, Shiheng ZHANG et al. Image defogging algorithm based on YUV color space GAN network. Journal of Graphics, 44, 928-936(2023).

[28] Xiqin HE, Dongdong CHEN. Image defogging algorithm based on YUV color model and guided filtering. Chinese Journal of Liquid Crystals and Displays, 36, 1166-1173(2021).

[29] Zhichao YAO, Xiaoliang CHU, Junyi FAN et al. Retrieving significant wave height based on Prewitt operator from X-band radar images. Systems Engineering and Electronics, 44, 1182-1187(2022).

[30] [30] WEI C, WANG W, YANG W, et al. Deep retinex decomposition f lowlight enhancement [J]. arXiv preprint arXiv, 2018: 04560.

[31] [31] REN X, LI M, CHENG W H, et al. Joint enhancement denoising method via sequential decomposition [C]2018 IEEE International Symposium on Circuits Systems(ISCAS), 2018: 15.

[32] Y ZHANG, X GUO, J MA et al. Beyond brightening low-light images. International Journal of Computer Vision, 129, 1013-1037(2021).

[33] [33] XU X, WANG R, FU C W, et al. SNRaware lowlight image enhancement [C]Proceedings of the IEEECVF Conference on Computer Vision Pattern Recognition, 2022: 1771417724.

[34] Teng LI, Kailei LIU. Research on image enhancement algorithm of low illumination in mine based on deep learning. Electronic Test, 36, 51-53, 134(2022).

[35] [35] HONG Y, WEI K, CHEN L, et al. Crafting object detection in very low light [C]British Machine Vision Conference(BMVC), 2021, 1(2): 3.