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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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