红外与可见光图像融合的汽车抗晕光系统
[1] 陈琳. 夜间行车远光灯会车法律问题研究[J]. 法制与社会, 2014(23): 71-72.
Chen Lin. The legal issues study on the high beams car meeting at night[J]. Legal System and Soceity, 2014(23): 71-72. (in Chinese)
[2] 骆媛, 王岭雪, 金伟其, 等. 微光(可见光)/红外彩色夜视技术处理算法及系统进展[J]. 红外技术, 2010, 32(6): 337-344.
Luo Yuan, Wang Lingxue, Jin Weiqi, et al. Developments of image processing algorithms and systems for LLL(Vis.)/IR color night vision[J]. Infrared Technology, 2010, 32(6): 337-344. (in Chinese)
[3] Wang Jian, Yang Zhe, Guo Quanmin. Research on video anti-blooming[C]//International Congress on Image and Signal Processing, 2010, 3: 491-494.
[4] 郭全民, 李晓玲. 基于可见光和红外图像融合的汽车抗晕光方法[J]. 红外技术, 2015, 37(6): 475-478.
[5] 王健, 郑少峰. 基于YUV与小波变换的可见光与红外图像融合[J]. 西安工业大学学报, 2013, 33(3): 209-211.
Wang Jian, Zheng Shaofeng. Visible and infrared image fusion based on YUV color space and wavelet transform[J]. Journal of Xi′an Technological University, 2013, 33(3): 209-211. (in Chinese)
[6] 窦易文, 周鸣争, 唐肝翌, 等. 焦点引导的带颜色恢复的多尺度Retinex算法[J]. 计算机工程与应用, 2013, 49(2): 207-270.
Dou Yiwen, Zhou Mingzheng, Tang Ganyi, et al. Focus-guided multi-scale Retinex with color restore algorithm[J].Computer Engineering and Applications, 2013, 49(2): 207-270. (in Chinese)
[7] 黄永东, 摆晓娟, 杨建伟. 基于中心投影的仿射变换参数估计与实现[J]. 光电子·激光, 2013, 24(9): 1833-1837.
Huang Yongdong, Bai Xiaojuan, Yang Jianwei. Parametric estimation and realization of affine transformation based on the central projection[J]. Journal of Optoelectronics·Laser,2013, 24 (9): 1833-1837. (in Chinese)
[8] Jiang B, Woodell G A, Jobson D J. Novel multi-scale retinex with color restoration on graphics processingunit[J]. Journal of Real-Time Image Processing, 2015, 10(2): 239- 253.
[9] Liang J W, Zhang X Q. Retinex by higher order total variation decomposition[J]. Journal of Mathematical Imaging & Vision, 2015, 52(3): 345-355.
[10] 陈志斌, 张超, 宋岩, 等. 灰度拉伸Retinex在大动态范围烟雾图像增强中的应用[J]. 红外与激光工程, 2014, 43(9): 3146-3150.
Chen Zhibin, Zhang Chao, Song Yan, et al. Application of Retinex with grayscale stretching in large dynamic range smoke image enhancement[J]. Infrared and Laser Engineering, 2014, 43(9): 3146-3150. (in Chinese)
[11] 李锦, 王俊平, 万国挺, 等. 一种结合直方图均衡化和MSRCR的图像增强新算[J]. 西安电子科技大学学报, 2014, 41(3): 104-109.
Li Jin, Wang Junping, Wan Guoting, et al. Novel algorithm for image enhacement with histogram equalization and MSRCR[J]. Journal of Xidian University, 2014, 41(3): 104-109. (in Chinese)
[12] 曾祥通, 张玉珍, 孙佳嵩, 等. 颜色对比度增强的红外与可见光图像融合方法[J].红外与激光工程, 2015, 44(4): 1198-1202.
[13] 杨少魁, 刘文. 一种微光与红外图像彩色融合方法[J]. 红外与激光工程, 2014, 43(5): 1654-1659.
Yang Shaokui, Liu Wen. Color fusion method for low-level light and infrared inages[J]. Infrared and Laser Engineering, 2014, 43(5): 1654-1659. (in Chinese)
[14] 童涛, 孟强强, 孙嘉成, 等. 基于边缘特征的多传感器图像融合算法[J]. 红外与与激光工程, 2014, 43(1): 311-317.
Tong Tao, Meng Qiangqiang, Sun Jiacheng, et al. Multi-sensor image fusion algorithm based on edge feature[J]. Infrared and Laser Engineering, 2014, 43(1): 311-317. (in Chinese)
[15] 徐春梅, 李刚, 胡文
Xu Chunmei, Li Gang, Hu Wengang, et al. Infrared image quality evaluation[J]. Infrared Technology, 2004, 26(6): 72-75. (in Chinese)
[16] 陈惠娟, 钱亚枫, 李勃, 等. 基于HVS和四元数的彩色图像质量评价方法[J]. 南京大学学报, 2015, 51(2): 271-278.
Chen Huijuan, Qian Yafeng, Li Bo, et al. Assessment method for color image quality based on HVS and quaternion[J]. Jounal of Nanjing University, 2015, 51(2): 271-278. (in Chinese)
郭全民, 董亮, 李代娣. 红外与可见光图像融合的汽车抗晕光系统[J]. 红外与激光工程, 2017, 46(8): 0818005. Guo Quanmin, Dong Liang, Li Daidi. Vehicles anti-halation system based on infrared and visible images fusion[J]. Infrared and Laser Engineering, 2017, 46(8): 0818005.