[1] [1] WANG W C, WU X J, GAO Z R, et al. An experiment-based review of low-light image enhancement methods[J]. IEEE access, 2020, 8: 87884-87917.

[2] [2] ZHANG Q S, OUYANG Z W, REN Z L, et, al. CUCN: continuously updated connection network for low-light image enhancement[J]. Journal of electronic imaging, 2023, 32(3): 033010.

[3] [3] SAAD N H, ISA N A M, SALEH H M. Nonlinear exposure intensity based modification histogram equalization for non-uniform illumination image enhancement[J]. IEEE access, 2021, 9: 93033-93061.

[4] [4] SINGH N, BHANDARI A K. Principal component analysis-based low-light image enhancement using reflection model[J]. IEEE transactions on instrumentation and measurement, 2021, 70: 1-10.

[5] [5] YI X, MIN C B, SHAO M C, et al. Low-light image enhancement via regularized Gaussian fields model[J]. Neural processing letters, 2023, 55: 12017-12037.

[6] [6] LANG Y Z, QIAN Y S, KONG X Y, et al. Effective enhancement method of low-light-level images based on the guided filter and multi-scale fusion[J]. Journal of the optical society of America A, optics, image science, and vision, 2022, 40(1): 1-9.

[7] [7] DEMIR Y, KAPLAN N H. Low-light image enhancement based on sharpening-smoothing image filter[J]. Digital signal process, 2023, 138: 104054.

[8] [8] MERTENS T, KAUTZ J, REETH V F. Exposure fusion[C]//15th Pacific Conference on Computer Graphics and Applications (PG'07), October 29-November 2, 2007, Maui, HI, USA. New York: IEEE, 2007: 382-390.

[9] [9] FU X Y, ZENG D L, HUANG Y, et al. A fusion-based enhancing method for weakly illuminated images[J]. Signal processing, 2016, 129: 82-96.

[10] [10] MARQUES T P, BRANZAN A A. L2UWE: a framework for the efficient enhancement of low-light underwater images using local contrast and multi-scale fusion[C]//IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, July 14-19, 2020, Seattle, WA, USA. New York: IEEE, 2020: 2286-2295.

[11] [11] CHEN J, WU Y. Improved color balance and fusion for enhancement of underwater image[C]//2022 IEEE 8th International Conference on Computer and Communications (ICCC), December 9-12, 2022, Chengdu, China. New York: IEEE, 2023: 1964-1969.

[12] [12] ZHOU X Y, GUO J C, LIU G, et al. A fusion-based and multi-layer method for low light image enhancement[C]//IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), June 4-10, 2023, Rhodes Island, Greece. New York: IEEE, 2023: 1-5.

[13] [13] ZHANG E, GUO L, GUO J, et al. A low-brightness image enhancement algorithm based on multi-scale fusion[J]. Applied sciences, 2023, 13(8): 10230.

[14] [14] HAN Y, ZHANG W, HE W. Low-light image enhancement based on simulated multi-exposure fusion[J]. Journal of physics: conference series, 2023, 2478(6): 062022.

[15] [15] HE Z, MO H, XIAO Y, et al. Multi-scale fusion for image enhancement in shield tunneling: a combined MSRCR and CLAHE approach[J]. Measurement science and technology, 2024, 35(5): 056112.

[16] [16] ZHONG W, LIN J, MA L, et al. Deep multi-illumination fusion for low-light image enhancement[J]. Pattern recognition and computer vision, 2021, 13021: 140-150.

[17] [17] BURT P J, KOLCZYNSKI R J. Enhanced image capture through fusion[C]//4th International Conference on Computer Vision, May 11-14, 1993, Berlin, Germany. New York: IEEE, 2002.

[18] [18] PARIHAR A S, SINGH K, ROHILLA H, et al. Fusion-based simultaneous estimation of reflectance and illumination for low-light image enhancement[J]. IET image processing, 2020, 15: 1410-1423.

[19] [19] Retinex image processing[EB/OL]. (2001) [2024-02-13]. https://dragon.larc.nasa.gov/retinex/pao/news.

[20] [20] GUO X J, LI Y, LING H B. LIME: low-light image enhancement via illumination map estimation[J]. IEEE transactions on image processing, 2017, 26(2): 982-993.

[21] [21] CAI J R, GU S H, ZHANG L. Learning a deep single image contrast enhancer from multi-exposure images[J]. IEEE transactions on image processing, 2018, 27(4): 2049-2062.

[22] [22] LEE C L, LEE C, KIM C S. Contrast enhancement based on layered difference representation of 2D histograms[C]//19th IEEE International Conference on Image Processing, September 30-October 3, 2012, Orlando, FL, USA. New York: IEEE, 2013: 965-968.