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

[2] Y H MA, J LIU, Y H LIU et al. Structure and illumination constrained GAN for medical image enhancement. 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] R HUMMEL. Image enhancement by histogram transformation. Computer Graphics and Image Processing, 6, 184-195(1977).

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

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

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

[9] D J JOBSON, Z RAHMAN, G A 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).

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

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

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

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

[14] 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).

[15] F F LV, F LU, J H WU et al. MBLLEN： Low-Light Image/Video Enhancement Using CNNs, 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] J B ZHAO, H Y CHEN, S Y ZENG et al. RISSNet： Retain low-light image details and improve the structural similarity net. IET Image Processing, 16, 1793-1806(2022).

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

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

[20] Q L WANG, B G WU, P F ZHU et al. ECA-Net： Efficient Channel Attention for Deep Convolutional Neural Networks, 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] K SIMONYAN, A ZISSERMAN. Very Deep Convolutional Networks for Largescale Image Recognition, 1-14(2015).

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

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

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

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

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