[1] FU X, ZENG D, HUANG Y et al. A fusion-based enhancing method for weakly illuminated images[J]. Signal Processing, 129, 82-96(2016).

[2] YING Z, LI G, GAO W. A bio-inspired multi-exposure fusion framework for low-light image enhancement[J]. arXiv preprint(2017).

[3] LI Z, WEI Z, WEN C et al. Detail-enhanced multi-scale exposure fusion[J]. IEEE Transactions on Image Processing, 26, 1243-1252(2017).

[4] WANG W, CHEN Z, YUAN X et al. Adaptive image enhancement method for correcting low-illumination images[J]. Information Sciences, 496, 25-41(2019).

[5] REN Y, YING Z, LI T H et al. LECARM: Low-light image enhancement using the camera response model[J]. IEEE Transactions on Circuits and Systems for Video Technology, 29, 968-981(2018).

[6] XU Y, YANG C, SUN B et al. A novel multi-scale fusion framework for detail-preserving low-light image enhancement[J]. Information Sciences, 548, 378-397(2021).

[7] BARRON J T. A generalization of Otsu's method and minimum error thresholding[C], 455-470(2020).

[8] HE K, SUN J, TANG X. Guided image filtering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35, 1397-1409(2012).

[9] WANG P, CHEN P, YUAN Y et al. Understanding convolution for semantic segmentation[C], 1451-1460(2018).

[10] MA K, DUANMU Z, ZHU H et al. Deep guided learning for fast multi-exposure image fusion[J]. IEEE Transactions on Image Processing, 29, 2808-2819(2019).

[11] MA K, ZENG K, WANG Z. Perceptual quality assessment for multi-exposure image fusion[J]. IEEE Transactions on Image Processing, 24, 3345-3356(2015).

[12] MITTAL A, SOUNDARARAJAN R, BOVIK A C. Making a“completely blind”image quality analyzer[J]. IEEE Signal Processing Letters, 20, 209-212(2012).

[13] LEE C, LEE C, KIM C S. Contrast enhancement based on layered difference representation of 2D histograms[J]. IEEE Transactions on Image Processing, 22, 5372-5384(2013).

[14] WANG S, ZHENG J, HU H M et al. Naturalness preserved enhancement algorithm for non-uniform illumination images[J]. IEEE Transactions on Image Processing, 22, 3538-3548(2013).

[15] GUO X, LI Y, LING H. LIME: Low-light image enhancement via illumination map estimation[J]. IEEE Transactions on Image Processing, 26, 982-993(2016).

[16] WEI C, WANG W, YANG W et al. Deep retinex decomposition for low-light enhancement[J]. arXiv preprint(2018).

[17] CAI J, GU S, ZHANG L. Learning a deep single image contrast enhancer from multi-exposure images[J]. IEEE Transactions on Image Processing, 27, 2049-2062(2018).

[18] ZHANG Y, ZHANG J, GUO X. Kindling the darkness: a practical low-light image enhancer[C], 1632-1640(2019).

[19] LIU R, MA L, ZHANG J et al. Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement[C], 10561-10570(2021).

[20] LI C, GUO C, LOY C C. Learning to enhance low-light image via zero-reference deep curve estimation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44, 4225-4238(2021).