[1] ELIZA JACOB J, SARITHA S. Video Enhancement and Low-Resolution Facial Image Reconstruction for Crime Investigation[M]. Intelligent Data Communication Technologies and Internet of Things, 773-788(2021).

[2] MA Y H, LIU J, LIU Y H et al. Structure and illumination constrained GAN for medical image enhancement[J]. IEEE Transactions on Medical Imaging, 40, 3955-3967(2021).

[3] [3] 3朱均安， 陈涛， 曹景太. 基于显著性区域加权的相关滤波目标跟踪［J］. 光学 精密工程， 2021， 29（2）：363-373. doi: 10.37188/OPE.20212902.0363ZHUJ A， CHENT， CAOJ T.， CHENT， CAOJ T. Salient region weighted correlation filter for object tracking［J］. Opt. Precision Eng.， 2021， 29（2）：363-373.（in Chinese）. doi: 10.37188/OPE.20212902.0363

[4] [4] 4杨艳春， 裴佩佩， 党建武， 等. 基于交替梯度滤波器和改进PCNN的红外与可见光图像融合［J］. 光学 精密工程， 2022， 30（9）：1123-1138. doi: 10.37188/OPE.20223009.1123YANGY C， PEIP P， DANGJ W， et al. Infrared and visible image fusion based on alternating gradient filter and improved PCNN［J］. Opt. Precision Eng.， 2022， 30（9）：1123-1138.（in Chinese）. doi: 10.37188/OPE.20223009.1123

[5] HUMMEL R. Image enhancement by histogram transformation[J]. Computer Graphics and Image Processing, 6, 184-195(1977).

[6] PIZER SM, AMBURN EP, AUSTIN JD et al. Adaptive histogram equalization and its variations[J]. Computer Vision， Graphics， and Image Processing, 39, 355-368(1987).

[7] REZA A M. Realization of the contrast limited adaptive histogram equalization （CLAHE） for real-time image enhancement[J]. Journal of VLSI Signal Processing Systems for Signal, 38, 35-44(2004).

[8] LAND E H. The retinex theory of color vision[J]. Scientific American, 237, 108-128(1977).

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

[10] JOBSON D J, RAHMAN Z, WOODELL G A. A multiscale retinex for bridging the gap between color images and the human observation of scenes[J]. IEEE Transactions on Image Processing： a Publication of the IEEE Signal Processing Society, 6, 965-976(1997).

[11] WEI C, WANG W, YANG W et al. Deep Retinex Decomposition for Low-Light Enhancement[webpage]. arXiv, 1808-04560(2018). https：//arxiv.org/abs/1808.04560

[12] ZHANG Y H, ZHANG J W, GUO X J. Kindling the Darkness： a Practical Low-Light Image Enhancer[C], 1632-1640(2019).

[13] GUO C L, LI C Y, GUO J C et al. Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement[C], 1777-1786(13).

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

[15] LV F F, LU F, WU J H et al. MBLLEN： Low-Light Image/Video Enhancement Using CNNs[C], 220, 4(2018).

[16] [16] 16潘晓英， 魏苗， 王昊， 等. 多尺度融合残差编解码器的低照度图像增强方法［J］. 计算机辅助设计与图形学学报， 2022， 34（1）： 104-112. doi: 10.3724/sp.j.1089.2022.18833PANX Y， WEIM， WANGH， et al. A multi-scale fusion residual encoder-decoder approach for low illumination image enhancement［J］. Journal of Computer-Aided Design & Computer Graphics， 2022， 34（1）： 104-112.（in Chinese）. doi: 10.3724/sp.j.1089.2022.18833

[17] ZHAO J B, CHEN H Y, ZENG S Y et al. RISSNet： Retain low-light image details and improve the structural similarity net[J]. IET Image Processing, 16, 1793-1806(2022).

[18] CHEN Y P, FAN H Q, XU B et al. Drop an octave： reducing spatial redundancy in convolutional neural networks with octave convolution[C], 3434-3443.

[19] HU J, SHEN L, SUN G. Squeeze-and-Excitation Networks[C], 7132-7141(18).

[20] WANG Q L, WU B G, ZHU P F et al. ECA-Net： Efficient Channel Attention for Deep Convolutional Neural Networks[C], 11531-11539(13).

[22] [22] 22WOO S， PARKJ， LEEJ Y， et al. CBAM： Convolutional Block Attention Module［M］. Computer Vision - ECCV 2018. Cham： Springer International Publishing， 2018： 3-19. doi: 10.1007/978-3-030-01234-2_1GAOS H， CHENGM M， ZHAOK， et al. Res2Net： a new multi-scale backbone architecture［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence， 2021， 43（2）： 652-662. doi: 10.1007/978-3-030-01234-2_1

[23] SIMONYAN K, ZISSERMAN A. Very Deep Convolutional Networks for Largescale Image Recognition[C], 1-14(2015).

[24] MANNOS J, SAKRISON D. The effects of a visual fidelity criterion of the encoding of images[J]. IEEE Transactions on Information Theory, 20, 525-536(1974).

[25] WANG Z, BOVIK A C, SHEIKH H R et al. Image quality assessment： from error visibility to structural similarity[J]. IEEE Transactions on Image Processing： a Publication of the IEEE Signal Processing Society, 13, 600-612(2004).

[26] SHEIKH H R, BOVIK A C. Image information and visual quality[J]. IEEE Transactions on Image Processing, 15, 430-444(2006).

[27] CHEN X Y, WANG S A. Superpixel segmentation based on delaunay triangulation[C], 1-6(28).

[28] CHEN C, CHEN Q F, XU J et al. Learning to see in the dark[C], 3291-3300(18).