[1] 王浩, 张叶, 沈宏海, 等．图像增强算法综述 ［J］．中国光学, 2017, 10(4): 438-448．

    WANG H, ZHANG Y, SHEN H H, et al. Review of image enhancement algorithms ［J］. Chinese Optics, 2017, 10(4): 438-448. (in Chinese)

[2] 张锐, 贾娜．海域图像增强方法综述 ［J］．液晶与显示, 2017, 32(10): 828-834．

    ZHANG R, JIA N. Sea image enhancement review ［J］. Chinese Journal of Liquid Crystals and Displays, 2017, 32(10): 828-834. (in Chinese)

[3] LI S, JIN W Q, LI L, et al. An improved contrast enhancement algorithm for infrared images based on adaptive double plateaus histogram equalization ［J］. Infrared Physics & Technology, 2018, 90: 164-174.

[4] 董丽丽, 丁畅, 许文海．基于直方图均衡化图像增强的两种改进方法 ［J］．电子学报, 2018, 46(10): 2367-2375．

    DONG L L, DING C, XU W H. Two improved methods based on histogram equalization for image enhancement ［J］. Acta Electronica Sinica, 2018, 46(10): 2367-2375. (in Chinese)

[5] 张毅, 李杨, 谢陈磊, 等．基于变异系数反馈调整的自适应双平台直方图均衡化 ［J］．红外技术, 2019, 41(3): 262-267．

    ZHANG Y, LI Y, XIE C L, et al. Adaptive dual-plateaus histogram equalization based on coefficient of variation combined with feedback control principle ［J］. Infrared Technology, 2019, 41(3): 262-267. (in Chinese)

[6] 万智萍．结合视觉特性与灰度拉伸的直方图均衡化红外图像算法 ［J］．计算机工程与设计, 2016, 37(3): 714-719．

    WAN Z P. Infrared image histogram equalization algorithm based on visual characteristics and gray stretch ［J］. Computer Engineering and Design, 2016, 37(3): 714-719. (in Chinese)

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

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

[9] 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, 1997, 6(7): 965-976.

[10] ELAD M. Retinex by two bilateral filters ［C］//Proceedings of the 5th International Conference on Scale Space and PDE Methods in Computer Vision. Hofgeismar: Springer, 2005: 217-229.

[11] WANG Y F, WANG H Y, YIN C L, et al. Biologically inspired image enhancement based on Retinex ［J］. Neurocomputing, 2016, 177: 373-384.

[12] HE K M, SUN J, TANG X O. Guided image filtering ［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(6): 1397-1409.

[13] ZHANG S, TANG G J, LIU X H H, et al. Retinex based low-light image enhancement using guided filtering and variational framework ［J］. Optoelectronics Letters, 2018, 14(2): 156-160.

[14] 云海姣, 吴志勇, 王冠军, 等．结合直方图均衡和模糊集理论的红外图像增强 ［J］．计算机辅助设计与图形学学报, 2015, 27(8): 1498-1505．

    YUN H J, WU Z Y, WANG G J, et al. Enhancement of infrared image combined with histogram equalization and fuzzy set theory ［J］. Journal of Computer-Aided Design & Computer Graphics, 2015, 27(8): 1498-1505. (in Chinese)

[15] 朱国庆, 李庆武, 林少飞, 等．基于人眼视觉特性的非下采样轮廓波变换域红外图像增强算法［J］．激光与光电子学进展, 2015, 52(1): 011001．

    ZHU G Q, LI Q W, LIN S F, et al. Infrared image enhancement algorithm based human visual system characteristic via non-subsampled Contourlet transform domain ［J］. Laser & Optoelectronics Progress, 2015, 52(1): 011001. (in Chinese)

[16] 陈庆利, 黄果, 门涛, 等．数字图像的局部分数阶微分增强［J］．四川大学学报: 工程科学版, 2016, 48(4): 115-122．

    CHEN Q L, HUANG G, MEN T, et al. Local fractional differential algorithm for image enhancement ［J］. Journal of Sichuan University: Engineering Science Edition, 2016, 48(4): 115-122. (in Chinese)

[17] 朱丹丹, 王斌, 杨奕, 等．Contourlet变换和遗传算法相结合的沥青红外图像增强方法［J］．计量学报, 2019, 40(1): 25-30．

    ZHU D D, WANG B, YANG Y, et al. Asphalt infrared image enhancement of combining Contourlet transform with genetic algorithm ［J］. Acta Metrologica Sinica, 2019, 40(1): 25-30. (in Chinese)

[18] 曹美, 程亚玲, 盛惠兴, 等．改进的直方图均衡化和NSCT变换的红外图像增强 ［J］．应用科技, 2016, 43(2): 24-27．

    CAO M, CHENG Y L, SHENG H X, et al. Application of improved histogram equalization and NSCT transform algorithm in infrared image enhancement ［J］. Applied Science and Technology, 2016, 43(2): 24-27. (in Chinese)

[19] CAO T, WANG W X. Depth image enhancement and detection on NSCT and fractional differential ［J］. Wireless Personal Communications, 2018, 103(1): 1025-1035.

[20] DACUNHA A L, ZHOU J, DO M N. The nonsubsampled contourlet transform: theory, design, and applications ［J］. IEEE Transactions on Image Processing, 2006, 15(10): 3089-3101.

[21] WANG L Q, XIAO L, LIU H Y, et al. Variational Bayesian method for Retinex ［J］. IEEE Transactions on Image Processing, 2014, 23(8): 3381-3396.

[22] 廖一鹏, 王卫星, 付华栋, 等．结合分数阶微分的浮选泡沫图像NSCT多尺度增强［J］．华南理工大学学报: 自然科学版, 2018, 46(3): 92-102．

    LIAO Y P, WANG W X, FU H D, et al. Flotation foam image NSCT multi-scale enhancement with fractional differential ［J］. Journal of South China University of Technology: Natural Science Edition, 2018, 46(3): 92-102. (in Chinese)

[23] 马荣贵, 王卫星, 刘威, 等．结合分数阶微分和暗原色先验及Retinex的去雾算法 ［J］．华南理工大学学报: 自然科学版, 2016, 44(9): 16-23．

    MA R G, WANG W X, LIU W, et al. A haze removal algorithm combining fractional differential, dark channel prior and Retinex ［J］. Journal of South China University of Technology: Natural Science Edition, 2016, 44(9): 16-23. (in Chinese)

[24] YUAN X C, WU L S, PENG Q J. An improved Otsu method using the weighted object variance for defect detection［J］. Applied Surface Science, 2015, 349: 472-484.

[25] 李博, 谢巍．基于二维Otsu准则的自适应分数阶微分的图像增强算法［J］．控制理论与应用, 2015, 32(6): 794-800．

    LI B, XIE W. An algorithm for image enhancement based on adaptive fractional differential using two-dimensional Otsu standard ［J］. Control Theory & Applications, 2015, 32(6): 794-800. (in Chinese)