[1] Yang M X. Research on color image enhancement algorithms in low light conditions[D]. Nanjing: Nanjing University of Posts and Telecommunications, 9-13(2019).

[2] Pan W Q. Research on enhancement algorithms of low-light image and video based on Retinex theory[D]. Nanjing: Nanjing University of Posts and Telecommunications, 10-12(2019).

[3] Feng Q Z, Wang D. A novel algorithm for low illumination image enhancement based on LIP and CLAHE[J]. Electro-Optic Technology Application, 33, 31-36(2018).

[4] Yu C Y, Xu X D, Lin H X et al. Low-illumination image enhancement method based on a fog-degraded model[J]. Journal of Image and Graphics, 22, 1194-1205(2017).

[5] Wu R Y, Wang D X, Yuan H C. Low-light image enhancement based on attention mechanism and convolutional neural networks[J]. Laser & Optoelectronics Progress, 57, 201002(2020).

[6] Ma H Q, Ma S P, Xu Y L et al. Low-light image enhancement based on deep convolutional neural network[J]. Acta Optica Sinica, 39, 0210004(2019).

[7] Jia X Y, Li T T, Jiang Z H et al. Hue preserving low illumination image enhancement based on gene expression programming optimization[J]. Laser & Optoelectronics Progress, 56, 091502(2019).

[8] Ahn H, Keum B, Kim D et al. Adaptive local tone mapping based on retinex for high dynamic range images[C]∥2013 IEEE International Conference on Consumer Electronics (ICCE), January 11-14, 2013, Las Vegas, NV, USA., 153-156(2013).

[9] Fu X Y, Zeng D L, Huang Y et al. A fusion-based enhancing method for weakly illuminated images[J]. Signal Processing, 129, 82-96(2016). http://smartsearch.nstl.gov.cn/paper_detail.html?id=715a1f478cb75f5609024ffec05f0788

[10] Yang S, Song Q, Guo X et al. An improved contrast fusion approach in gradient domain for low light level image enhancement. [C]∥MIPPR 2019: Multispectral Image Acquisition, Processing, and Analysis. International Society for Optics and Photonics, 11428, 114280M(2020).

[11] Park S, Moon B, Ko S et al. Low-light image restoration using bright channel prior-based variational Retinex model[J]. EURASIP Journal on Image and Video Processing, 2017, 44(2017). http://link.springer.com/article/10.1186/s13640-017-0192-3

[12] [12] Guo XJ. LIME: a method for low-light image enhancement[C]∥Proceedings of the 2016 ACM on Multimedia Conference-MM'16, October 1-19, 2016. Amsterdam, The Netherlands. New York: ACM Press, 2016: 87- 91.

[13] Fu Q, Jung C, Xu K. Retinex-based perceptual contrast enhancement in images using luminance adaptation[J]. IEEE Access, 6, 61277-61286(2018). http://ieeexplore.ieee.org/document/8500743

[14] Fu G, Duan L, Xiao C X. A hybrid L2 --LP variational model for single low-light image enhancement with bright channel prior[C]∥2019 IEEE International Conference on Image Processing (ICIP), September 22-25, 2019, Taipei, Tai, 1925-1929(2019).

[15] Azetsu T, Suetake N. Hue-preserving image enhancement in CIELAB color space considering color gamut[J]. Optical Review, 26, 283-294(2019). http://link.springer.com/article/10.1007/s10043-019-00499-2

[16] Chang J, Ren Y, He C Z. Improved multifocus image fusion algorithm for bilateral filtering Retinex[J]. Journal of Image and Graphics, 25, 432-441(2020).

[17] He K M, Sun J, Tang X O. Guided image filtering[M]. Heidelberg: Springer, 1-14(2010).

[18] Tian H J, Cai M P, Guan T et al. Low-light image enhancement method using Retinex method based on YCbCr color space[J]. Acta Photonica Sinica, 49, 0210002(2020).