[1] [1] 季渊，许怡晴，陈宝良，等. 硅基微显示器发展现状与研究进展 ［J］. 激光与光电子学进展，2022，59 （20）：92-103. doi: 10.3788/LOP202259.2011007JIY， XUY Q， CHENB L， et al.. Development and Research Progress of Silicon-Based Microdisplays ［J］. Laser & Optoelectronics Progress， 2022， 59（20）： 92-103. （in Chinese）. doi: 10.3788/LOP202259.2011007

[2] E H LAND, J J MCCANN. Lightness and retinex theory. Journal of the Optical Society of America, 61, 1-11(1971).

[3] D J JOBSON, Z RAHMAN, G WOODELL. Properties and performance of a center/surround retinex. IEEE Transactions on Image Processing： a Publication of the IEEE Signal Processing Society, 6, 451-462(1997).

[4] D J JOBSON, Z RAHMAN, G WOODELL. A multiscale retinex for bridging the gap between color images and the human observations of scenes. IEEE Transcations on Image Processing, 7, 965-976(1997).

[5] Z U RAHMAN, D J JOBSON, G A WOODELL. Retinex processing for automatic image enhancement. Journal of Electronic Imaging, 13, 100-110(2004).

[6] S H WANG, J ZHENG, H M HU et al. Naturalness preserved enhancement algorithm for non-uniform illumination images. IEEE Transactions on Image Processing： a Publication of the IEEE Signal Processing Society, 22, 3538-3548(2013).

[7] Y SHIN, S JEONG, S LEE. Adaptive brightness equalization based on retinex theory, 610-612(2013).

[8] [8] 陈刚，刘言，杨贺超，等. 低照度彩色图像的自适应亮度增强［J］.光学 精密工程，2021，29（8）：1999- 2007. doi: 10.37188/OPE.20212908.1999CHENG， LIUY， YANGH C， et al. Adaptive brightness correction of dim-lightening color images ［J］. Opt. Precision Eng.， 2021， 29（8）：1999-2007. （in Chinese）. doi: 10.37188/OPE.20212908.1999

[9] [9] 黄慧，董林鹭，刘小芳，等. 改进Retinex的低光照图像增强［J］. 光学 精密工程，2020，28（8）：1835- 1849.HUANGH， DONGL L， LIUX F， et al. Improved retinex low light image enhancement method ［J］. Opt. Precision Eng.， 2020，28（8）：1835-1849. （in Chinese）.

[10] [10] 王殿伟，邢质斌，韩鹏飞，等. 基于模拟多曝光融合的低照度全景图像增强 ［J］. 光学 精密工程， 2021， 29（2）：349-362. doi: 10.37188/OPE.20212902.0349WANGD W， XINGZ B， HANP F， et al. Low illumination panoramic image enhancement algorithm based on simulated multi-exposure fusion ［J］. Opt. Precision Eng.， 2021， 29（2）： 349-362. （in Chinese）. doi: 10.37188/OPE.20212902.0349

[11] K G LORE, A AKINTAYO, S SARKAR. LLNet：A deep autoencoder approach to natural lowlight image enhancement. Pattern Recognition, 61, 650-662(2017).

[12] C H WEI, W J WANG, W H YANG et al. Deep retinex decomposition for low-light enhancement. Arxiv Preprint Arxiv, 1808(2018).

[13] Y F JIANG, X Y GONG, D LIU et al. EnlightenGAN： deep light enhancement without paired supervision. IEEE Transactions on Image Processing, 30, 2340-2349(2021).

[14] X FU, D ZENG, Y HUANG et al. Color image detail enhancement based on quaternion guided filter. The Journal of China Universities of Posts and Telecommunications, 24, 40-50(2017).

[15] [15] 刘寿鑫，龙伟，李炎炎，等. 基于HSV色彩空间的低照度图像增强 ［J］. 计算机工程与设计， 2021， 42（9）：2552-2560. doi: 10.16208/j.issn1000-7024.2021.09.020LIUS X， LONGW， LIY Y， et al. Low-light image enhancement based on HSV color space［J］. Computer Engineering and Design， 2021， 42（9）：2552-2560. （in Chinese）. doi: 10.16208/j.issn1000-7024.2021.09.020

[16] J CANNY. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8, 679-698(1986).

[17] Z HUANG, H FANG, Q LI et al. Optical remote sensing image enhancement with weak structure preservation via spatially adaptive gamma correction. Infrared Physics & Technology, 94, 38-47(2018).

[18] Y CHANG, C JUNG, P KE et al. Automatic contrast-limited adaptive histogram equalization with dual gamma correction. IEEE Access, 6, 11782-11792(2018).

[19] I JEONG, C LEE. An optimization-based approach to gamma correction parameter estimation for low-light image enhancement. Multimedia Tools and Applications, 80, 1-16(2021).

[20] YANG Y N， Improved retinex image enhancement al- gorithm based on bilateral filtering, 2250-2256(2015).

[21] K ZUIDERVELD. Contrast Limited Adaptive Histogram Equalization, 474-485(1994).

[22] T MERTENS, J KAUTZ, F V VAN REETH, Exposure Fusion. A simple and practical alternative to high dynamic range photography. Computer Graphics Forum, 28, 161-171(2009).

[23] [23] 周燕琴， 吕绪洋， 朱雄泳. 一种改进金字塔的多曝光HDR图像生成方法 ［J］. 现代计算机， 2020， 15： 130-136. doi: 10.1007/springerreference_35099ZHOUY Q， LVX Y， ZHUX Y. An improved multi-exposure HDR image generation method by improved pyramids［J］. Modern Computers， 2020， 15：130-136. （in Chinese）. doi: 10.1007/springerreference_35099

[24] Z Q YING, G LI, W GAO et al. A bio-inspired mul- ti-exposure fusion framework for low-light image enhancement. Computer Vision and Pattern Recognition（cs.CV）, 14, 1-10(2017).

[25] X J GUO, Y LI, H B LING. LIME： low-light image enhancement via illumination map estimation. IEEE Transactions on Image Processing, 26, 982-993(2017).

[26] Y R REN, Z Q 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(2019).