[1] 汤成艳. 基于红外热像的金属氧化锌避雷器故障检测技术研究 [D]. 长沙: 湖南大学, 2016.

    TANG Chengyann. Research on the application of Metal Oxide Arre ster fault detection based on infrared imaging[D].Changsha: Hunnan University, 2016.

[2] 郝志成, 吴川, 杨航, 等. 基于双边纹理滤波的图像细节增强方法法[J]. 中国光学, 2016, 9(4): 423-431.

    HAO Zhicheng, WU Chuan, YANG Hang, et al. Image deetail enhancement method based on multi-scale bilateral texture filterr[J]. Chinese optics, 2016, 9(4): 423-431.

[3] 王浩, 张叶, 沈宏海, 等. 图像增强算法综述 [J].中国光学, 20017, 10(4): 438-448.

    WANG Hao, ZHANG Ye, SHEN Hong-hai, et al. Review of immage enhancement algorithms[J]. Chinese Optics, 2017, 10(4): 438-448.

[4] 王门鸿, 杨文陵, 龚建新,等. 基于NSCT和直方图的电力设备红外外图 像增强[J].微处理机, 2016, 37(3):40-43.

    WANG Menhong, YANG Wenling, GONG Jianxin, et al. Infrared Immage Enhancement of Electric Equipment Based on NSCT and Histogramm[J].Microprocessors, 2016, 37(3): 40-43.

[5] 何玮. 基于 Retinex的红外图像预处理系统的研究与实现 [D].南南京: 南京理工大学, 2015.

    HE wei. Research and Implementation of Infrared Image Preprocessing System Based on Retinex[D]. Nanjing: Nanjing Univversity, 2015.

[6] 孙劲光, 李扬, 孟祥福, 等. 改进的单尺度 Retinex及其在人脸识别中的应用[J].计算机应用研究, 2011, 28(12): 4790-4793.

    SUN Jinguang, LI Yang, MENG Xiangfu, et al. Impro ved monoscale Retinex and application in face recognition[J]. Application Research of Compmputers, 2011, 28(12): 4790-4793.

[7] 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 Ronggui, WANG Weixing, LIU Wei, et al. A Haze Remooval Algorithm Combining Fractional Differential, Dark Channel Prior and Retinex[J]. Journal of South China University of Technology: Natuural Science Edition, 2016, 44(9): 16-23.

[8] 张弘, 郑培甜. 灰度梯度映射函数改进的 Otsu阈值法[J].计算机工程与应用, 2017, 53(12):190-195.

    ZHANG Hong, ZHENG Peitian. Improved Otsu threshold method for gray gradient mapping function[J]. Computer Engineering and Applications, 2017, 53(12): 190-195.

[9] 邹辉, 黄福珍. 基于 FAST-Match算法的电力设备红外图像分割[J].红外技术, 2016, 38(1): 21-27.

    ZOU Hui，HUANG Fuzhen. Infrared Image Segmentation for Electrical Equipment Based on Fast-Match Algorithm[J]. Infrared Technology, 2016, 38(1): 21-27.

[10] 王启银, 薛建东, 任新辉. 一种自适应的变电站设备红外图像分割方法[J].红外技术, 2016, 38(9): 770-773.

    WANG Qiyin, XUE Jiandong, REN Xinhui. An Adaptive Segmentation Method of Substation Equipment Infrared Image[J]. Infrared Technology, 2016, 38(9): 770-773.

[11] XU L, YAN Q, XIA Y, et al. Structure extraction from texture via relative total variation[J]. Acm Transactions on Graphics, 2012, 31(6): 139.

[12] HE K, SUN J, TANG X. Single image haze removal using dark channel prior[J]. IEEE transactions on pattern analysis and machine intelligence, 2011, 33(12): 2341-2353.

[13] Candès E J, Wakin M B, Boyd S P. Enhancing sparsity by reweighted minimization[J]. Journal of Fourier Analysis & Applications, 2012, 14(5): 877-905.

[14] Tseng P. Convergence of a block coordinate descent method for nondifferentiable minimization[J]. Journal of optimization theory and applications, 2001, 109(3): 475-494.

[15] 占必超, 吴一全, 纪守新. 基于平稳小波变换和 Retinex的红外图像增强方法[J].光学学报, 2010, 30(10): 2788-2793.

    ZHAN Bichao, WU Yiquan, JI Shouxin. Infrared Image Enhancement Method Based on Stationary Wavelet Transformation and Retinex[J]. Acta Optica Sinica, 2010, 30(10): 2788-2793.

[16] 姒绍辉, 胡伏原, 顾亚军,等. 一种基于不规则区域的高斯滤波去噪算法[J]. 计算机科学, 2014, 41(11):313-316.

    SI Shaohui, HU Fuyuan, GU Yajun, et al. Improved Denoising Algorithm Based on Non-regular Area GuassianFiltering[J]. Computer Science, 2014, 41(11): 313-316.

[17] DONG G, Palaniappan K. A Robust Method for Edge-Preserving Image Smoothing[J]. Lecture Notes in Computer Science, 2008, 5259: 390-399.

[18] 王益艳. 基于 Lp范数广义变分正则化图像滤波 [J]. 计算机与数字工程, 2017, 45(1):135-137.

    WANG Yiyan. Image Restoration Based on Lp Norm Generalized Variational Regularization[J]. Computer & Digital Engineering, 2017, 45(1): 135-137.

[19] 黄黎红. 一种基于单尺度 Retinex的雾天降质图像增强新算法 [J].应用光学, 2010, 31(5): 728-733.

    HUANG Lihong. Fog-degraded image enhancement based on single-scale Retinex[J]. Journal of Applied Optics, 2010, 31(5): 728-733.

[20] 肖明尧, 李雄飞. 基于高斯分解的多尺度 3D Otsu阈值分割算法 [J]. 吉林大学学报(工), 2017, 47(1):255-261.

    XIAO Mingyao, LI Xiongfei. Multi-scale 3D Otsu thresholding algorithm based on Gaussian Decomposition[J]. Journal of Jilin University (Engineering and Technology Edition), 2017, 47(1): 255-261.