改进IHS-Curvelet变换融合可见光与红外图像抗晕光方法

郭全民; 王言; 李翰山

doi:doi:10.3788/irla201847.1126002

红外与激光工程, 2018, 47 (11): 1126002, 网络出版: 2019-01-10

改进IHS-Curvelet变换融合可见光与红外图像抗晕光方法

Anti-halation method of visible and infrared image fusion based on improved IHS-Curvelet transform

论文大纲

郭全民 ^*王言李翰山

作者单位

西安工业大学电子信息工程学院, 陕西西安 710021

抗晕光图像融合 IHS色彩空间 Curvelet变换 anti-halation image fusion IHS color space Curvelet transformation

摘要

为了解决夜间会车滥用远光灯造成驾驶员晕光的问题, 提出一种在IHS色彩空间下改进Curvelet变换融合可见光与红外图像的抗晕光方法。该方法通过改进Curvelet变换实现图像二维细节信息的有效表达, 提高图像清晰度, 其中提出的低频系数权值自动调节融合策略能够将晕光信息剔除, 避免其参与融合过程; 与IHS变换相结合能够保留原图中的色彩信息, 避免色彩失真。对实验结果的主客观分析表明, 该方法消除晕光比较彻底, 与IHS-小波融合相比, 融合图像的标准差、平均梯度、边缘强度、信息熵分别提高了47.15%、53.10%、52.46%、4.45%, 对比度和清晰度显著提升, 细节信息也更加丰富, 人眼视觉效果更好, 有利于驾驶员观察前方路况, 提前做出预判, 消除安全隐患, 提高夜间行车的安全性。

Abstract

In order to solve the problem of driver halation caused by the abuse of high beam lights at night, the anti-halation method of visible and infrared image fusion was proposed based on improved Curvelet transform in IHS color space. The method could effectively express the two-dimensional detail information of the image by improving the Curvelet transform, and improved the image clarity. The proposed fusion strategy of self-adjusting low-frequency coefficient weights could remove the halation information and avoid its participation in the fusion process. The color information in the original image was preserved by combining with the IHS transform to avoid color distortion. Subjective and objective analysis of the experiment results show that the method can eliminate the halation more completely. Compared with IHS-wavelet fusion, standard deviation, average gradient, edge intensity and entropy of the fusion image increase by 47.15%, 53.10%, 52.46% and 4.45%, respectively, its contrast and clarity are significantly enhanced, the details are also more abundant, and the visual effect of the human eye is better. The method is helpful for the driver to observe the road condition ahead, make judgment in advance, eliminate safe hidden trouble and improve the safety of night driving.

参考文献

[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, 9(23): 71-72.

Chen Lin. The legal issues study on the high beams car meeting at night[J]. Legal System and Society, 2014, 9(23): 71-72. (in Chinese)

[2] 陈一超, 胡文刚, 武东生, 等. 单通道三波段彩色夜视系统设计及实验研究[J]. 红外技术, 2017, 39(1): 62-66.

Chen Yichao, Hu Wengang, Wu Dongsheng, et al. Experimental study on single-channel triple-spectrum color night vision system[J]. Infrared Technology, 2017, 39(1): 62-66. (in Chinese)

[3] 朱美萍, 孙建, 张伟丽, 等. 高性能偏振膜的研制[J]. 光学精密工程, 2016, 24(12): 2908-2915.

Zhu Meiping, Sun Jian, Zhang Weili, et al. Development of high performance polarizer coatings[J]. Optics and Precision Engineering, 2016, 24(12): 2908-2915. (in Chinese)

[4] 王健, 高勇, 雷志勇, 等. 基于双CCD图像传感器的汽车抗晕光方法研究[J]. 传感技术学报, 2007(5): 1053-1056.

Wang Jian, Gao Yong, Lei Zhiyong, et al. Research of auto anti-blooming method based on double CCD image sensor[J]. Chinese Journal of Sensors and Actuators, 2007(5): 1053-1056. (in Chinese)

[5] 吴克伟, 段伟伟, 杨学志. 雨夜条件下的红外可见光视频融合目标跟踪[J]. 仪器仪表学报, 2016, 37(5): 1131-1139.

Wu Kewei, Duan Weiwei, Yang Xuezhi. Infra-visible video fusion object tracking under rainy night condition [J]. Chinese Journal of Scientific Instrument, 2016, 37(5): 1131-1139. (in Chinese)

[6] 鲁佳颖, 谷小婧, 顾幸生. 面向微光/红外融合彩色夜视的场景解析方法[J]. 红外与激光工程, 2017, 46(8): 0824002.

Lu Jiaying, Gu Xiaojing, Gu Xingsheng. Scene parsing method toward low-light-level/infrared color night vision [J]. Infrared and Laser Engineering, 2017, 46(8): 0824002. (in Chinese)

[7] 刘德坤, 龚俊斌, 马佳义, 等. 一种车载的红外与微光图像融合系统设计[J]. 红外与激光工程, 2010, 39(S): 303-307.

Lu Dekun, Gong Junbin, Ma Jiayi, et al. System of infrared and low light level image fusion on vehicle[J]. Infrared and Laser Engineering, 2010, 39(S): 303-307. (in Chinese)

[8] 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.

Guo Quanmin, Li Xiaoling. Vehicles′ anti- blooming method based on visible and infrared images fusion[J]. Infrared Technology, 2015, 37(6): 475-478. (in Chinese)

[9] Emmanuel J C, Donoho D L. Curvelets-a surprisingly effective nonadaptive representation for objects with edges[J]. Astronomy & Astrophysics, 2000, 283(3): 1051-1057.

[10] 陈清江,张彦博,柴昱洲, 等. 有限离散剪切波域的红外可见光图像融合[J]. 中国光学, 2016, 9(5): 523-531.

Chen Qingjiang, Zhang Yanbo, Chai Yuzhou, et al. Fusion of infrared and visible images based on finite discrete shearlet domain[J]. Chinese Optics, 2016, 9(5): 523-531. (in Chinese)

[11] 杜斯亮,杨博,王密, 等. 采用目标区域互信息的星空图像配准[J]. 光学精密工程, 2016, 24(2): 406-412.

Du Siliang, Yang Bo, Wang Mi, et al. Stellar image registration based on mutual information in object area[J]. Optics and Precision Engineering, 2016, 24(2): 406-412. (in Chinese)

[12] 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 Hao, Zhang Ye, Shen Honghai, et al. Review of image enhancement algorithms[J]. Chinese Optics, 2017, 10(4): 438-448. (in Chinese)

[13] Hong G, Zhang Y, Mercer B. A wavelet and IHS integration method to fuse high resolution SAR with moderate resolution multispectral images[J]. Photogrammetric Engineering & Remote Sensing, 2015, 75(10): 1213-1223.

[14] Candès E J, Demanet, Donohol D L, et al. Fast discrete curvelet transforms[J]. Multiscale Modeling and Simulation, 2006, 5(3): 861-899.

[15] Maglione P, Parente C, Vallario A. Pan-sharpening WorldView-2: IHS, Brovey and Zhang methods in comparison[J]. International Journal of Engineering & Technology, 2016, 8(2): 673-679.

[16] 李英杰, 张俊举, 常本康, 等. 远距离多波段红外图像融合系统及配准方法[J]. 红外与激光工程, 2016, 45(5): 0526002.

Li Yingjie, Zhang Junju, Chang Benkang, et al. Remote multiband infrared image fusion system and registration method[J]. Infrared and Laser Engineering, 2016, 45(5): 0526002. (in Chinese)

郭全民, 王言, 李翰山. 改进IHS-Curvelet变换融合可见光与红外图像抗晕光方法[J]. 红外与激光工程, 2018, 47(11): 1126002. Guo Quanmin, Wang Yan, Li Hanshan. Anti-halation method of visible and infrared image fusion based on improved IHS-Curvelet transform[J]. Infrared and Laser Engineering, 2018, 47(11): 1126002.

改进IHS-Curvelet变换融合可见光与红外图像抗晕光方法

关于本站 Cookie 的使用提示

全站搜索

改进IHS-Curvelet变换融合可见光与红外图像抗晕光方法

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索