面向高空飞艇平台的视频增强与稳像

doi:10.13229/j.cnki.jdxbgxb201401034

吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (01): 203-210.doi: 10.13229/j.cnki.jdxbgxb201401034

面向高空飞艇平台的视频增强与稳像

王书民¹, 张爱武¹, 王飞¹, 胡少兴², 孙卫东³, 仰继连³

1. 首都师范大学三维信息获取与应用教育部重点实验室, 北京 100048;
2. 北京航空航天大学机械及自动化学院, 北京 100083;
3. 清华大学电子工程系, 北京 100084

收稿日期:2012-07-27 出版日期:2014-01-01 发布日期:2014-01-01
通讯作者: 张爱武（1972-），女，教授，博士生导师.研究方向：计算机视觉与摄影测量.E-mail：zhangaw163@163.com E-mail:zhangaw163@163.com
作者简介:王书民（1985-），男，博士研究生.研究方向：计算机视觉与摄影测量.E-mail：wmcnu@163.com
基金资助:
国家科技支撑计划项目（2012BAH31B01）；北京市自然科学基金重点项目（B类）（KZ201310028035）；国家自然科学基金项目（41071255）.

Video enhancement and stabilization for high altitude airship platform

WANG Shu-min¹, ZHANG Ai-wu¹, WANG Fei¹, HU Shao-xing², SUN Wei-dong³, YANG Ji-lian³

1. Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, China;
2. College of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;
3. Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

Received:2012-07-27 Online:2014-01-01 Published:2014-01-01

摘要/Abstract

摘要：

针对高空飞艇平台获取的视频监测数据存在的问题，提出了帧内增强去雾和帧间去除高频振动分量的稳像方法。采用基于Retinex图像增强技术进行帧内增强处理，去除薄雾，保留图像细节，还原真实色彩；建立四自由度全局运动估计模型，并采用中值滤波方法进行运动补偿，去除高频振动分量，实现帧间稳像；并给出未定义区域重建算法。通过实际应用，证明了本文算法能够很好地实现飞艇视频稳像，在帧内增强和帧间稳像方面均有良好效果，可满足后期监测分析需求。

关键词: 计算机应用, Retinex算法, 运动估计, 运动补偿, 视频稳像

Abstract:

An image stabilization method is proposed for the problems existing in the video acquired from high altitude airship platform. It can remove the fog in the intra-frame images and filter the high frequency vibration components in the inter-frame images. The image enhancement technique Retinex is adopted to remove the fog in the intra frame images. It retains the details of the image, and restores the genuine color of image. Then, the four freedom global motion mode is established to estimate the global motion, and the median filter is adopted to smooth the global motion and remove the high frequency vibration components. It achieves the image stabilization in the inter-frame images. The algorithm of constructing the undefined area is given at the same time. Through the practical application, the algorithm proposed in this paper achieves the image stabilization for the video acquired from airship platform perfectly. It gets good image stabilization results in the intra-frame images and inter-frame images, which meet the requirements of monitoring and analyzing.

Key words: computer application, Retinex algorithm, motion estimation, motion compensation, video stabilization

中图分类号:

TP391

王书民, 张爱武, 王飞, 胡少兴, 孙卫东, 仰继连. 面向高空飞艇平台的视频增强与稳像[J]. 吉林大学学报(工学版), 2014, 44(01): 203-210.

WANG Shu-min, ZHANG Ai-wu, WANG Fei, HU Shao-xing, SUN Wei-dong, YANG Ji-lian. Video enhancement and stabilization for high altitude airship platform[J]. 吉林大学学报(工学版), 2014, 44(01): 203-210.

参考文献

[1] 黄静, 王岱, 高晓东, 等. 大面阵数字航测相机像移补偿的实现[J].光电工程, 2006, 33(5):27-30. Huang Jing, Wang Dai, Gao Xiao-dong, et al. Image motion compensation realization of large resolution digital aerial survey camera[J]. Opto-Electronic Engineering, 2006, 33(5):27-30.

[2] 朱锡芳, 吴峰, 庄燕滨. 基于Mallat算法遥感图像去云雾处理的改进方法[J].遥感学报, 2007, 11(2):241-246. Zhu Xi-fang, Wu Feng, Zhuang Yan-bin. An improved approach to remove cloud and mist from remote sensing digital images based on mallat algorithm[J].Journal of Remote Sensing, 2007, 11(2):241-246.

[3] Ling Lian-ming, Wen Xiong-fei, Gonzalez Albano, et al. An object-oriented daytime land-fog-detection approach based on the mean-shift and full lambda-schedule algorithms using EOS/MODIS data[J]. International Journal of Remote Sensing, 2011, 32(17):4769-4785.

[4] 李新宇, 刘杨阳, 蒋雪娜, 等.基于高维空间几何信息学的遥感图像去薄云算法[J].电子学报, 2011, 5(5):1002-1006. Li Xin-yu, Liu Yang-yang, Jiang Xue-na, et al. An novel algorithm to remove the thin cloud from remote sensing images based on high-dimensional space geometrical informatics[J]. Acta Electronica and Sinica, 2011, 5(5):1002-1006.

[5] Hautiére Nicolas, Tarel Jean-philippe, Lavenant Jean, et al. Automatic fog detection and estimation of visibility distance through use of an onboard camera[J]. Machine Vision and Applications, 2006, 17(1):8-20.

[6] Jiang Xing-fang, Li Xiang, Shen Wei-min. Analysis of removing cloud for color remote sensing images handled by wavelet transform, multi-scale retinex, and homomorphic filter[J]. Journal of Information and Computational Science, 2008, 3(2):853-860.

[7] Jiang Xing-fang, Ma Wei. Research of new method for removal thin cloud and fog of the remote sensing images[C]//IEEE Conf Photonics and Optoelectronic (SOPO), 2010:1-4.

[8] Cai Wen-ting, Liu Yong-xue, Li Man-chun. A self-adaptive homomorphic filter method for removing thin cloud[C]//The 19th International Conference on Digital Object Identifier, 2011:1-4.

[9] Yang W D, Guo W, Peng K, et al. Research on removing shadow in work piece image based on homomorphic filtering[C]//International Workshop on Information and Electronics Engineering, 2012, 29:2360-2364.

[10] Lei Ling, Zhou Yin-qing, Li Jing-wen. An investigation of retinex algorithms for image enhancement[J]. Journal of Electronics (China), 2007, 24(5):696-700.

[11] Watanabe Tatsumi, Kuwahara Yasuhiro, Kojima Akio, et al. An adaptive multi-scale retinex algorithm realizing high color quality and high-speed processing[J]. Journal of Imaging Science and Technology, 2005, 49(5):486-497.

[12] 李慧芳, 沈焕峰, 张良培, 等. 一种基于变分Retinex的遥感影像不均匀性校正方法[J].测绘学报, 2010, 12(6):585-598. Li Hui-fang, Shen Huan-feng, Zhang Liang-pei, et al. An uneven illumination correction method based on variational retinex for remote sensing image[J]. Acta Geodaetica et Cartographica Sinica, 2010, 12(6):585-598.

[13] 杨万挺, 汪荣贵, 方帅, 等. 滤波器可变的Retinex雾天图像增强算法[J]. 计算机辅助设计与图形学学报, 2010, 6(6):965-971. Yang Wan-ting, Wang Rong-gui, Fang Shuai, et al. Variable filter retinex algorithm for foggy image enhancement[J]. Journal of Computer-Aided Design & Computer Graphic, 2010, 6(6):965-971.

[14] Lowe David G. Distinctive image features from scale-invariant keypoints[J].The International Journal of Computer Vision, 2004, 60(2):91-110.

[15] Fishcher M A, Bolles R C. Random sample consensus: a paradigm for model fitting with application to image analysis and automated cartography[J]. Communication of the ACM, 1981, 24(6):381-395.

[16] Lee Kaiki, Wong Kinhong, Chang Mingyuen, et al. Extended Kalman filtering approach to stereo video stabilization[C]//Proc of the 19th International Conference on Pattern Recognition, Tampa, USA, 2008:1-4.

[17] Devi T N, Lim W K, Tan W N, et al. Temporal video compression using mode factor and polynomial fitting on wavelet coefficients[C]//Proceedings of the 4th International Conference on Computer Vision Theory and Applications, 2009:160-165.

[18] Zhu Juan-juan, Guo Bao-long. Electronic image stabilization system based on global feature tracking[J]. System Engineering and Electronics, 2008, 19(2):228-233.

[19] Matsushita Y, Ofex E, Tang X, et al. Full framevideo stabilization[C]//IEEE Conf Computer Vision and Pattern Recognition, 2005:50-57.

[20] 徐峰, 刘云飞.基于中值滤波-奇异值分解的胶合板拉伸声发射信号降噪方法研究[J].振动与冲击, 2011, 30(12):135-140. Xu Feng, Liu Yun-fei. Noise reduction and of acoustic emission signals in a plywood based on median filtering-singular value decomposition[J]. Journal of Vibration and Shock, 2011, 30(12):135-140.

[21] 刘力, 彭复原, 赵坤, 等. 采用简化SIFT算法实现图像快速匹配[J].红外与激光工程, 2008, 37(1):181-184. Liu Li, Peng Fu-yuan, Zhao Kun, et al. Simplified SIFT algorithm for fast image matching[J]. Infrared and Laser Engineering, 2008, 37(1):181-184.

[22] Jobson D J, Rahman Z, Woodell G A. The statistics of visual representation[C]//Proceedings of SPIE, 2002, 4736:25-35.

[23] Chen Hai-yan, Dai Ji-zhi, Liu Yong-zhi. Effect of fog and clouds on the image quality in millimeter communications[J]. International Journal of Infrared and Millimeter Waves, 2004, 25(5):749-757.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

面向高空飞艇平台的视频增强与稳像

Video enhancement and stabilization for high altitude airship platform

RICH HTML

PDF (PC)

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	刘富,宗宇轩,康冰,张益萌,林彩霞,赵宏伟. 基于优化纹理特征的手背静脉识别系统[J]. 吉林大学学报(工学版), 2018, 48(6): 1844-1850.
[2]	王利民,刘洋,孙铭会,李美慧. 基于Markov blanket的无约束型K阶贝叶斯集成分类模型[J]. 吉林大学学报(工学版), 2018, 48(6): 1851-1858.
[3]	金顺福,王宝帅,郝闪闪,贾晓光,霍占强. 基于备用虚拟机同步休眠的云数据中心节能策略及性能[J]. 吉林大学学报(工学版), 2018, 48(6): 1859-1866.
[4]	赵东,孙明玉,朱金龙,于繁华,刘光洁,陈慧灵. 结合粒子群和单纯形的改进飞蛾优化算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1867-1872.
[5]	刘恩泽,吴文福. 基于机器视觉的农作物表面多特征决策融合病变判断算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1873-1878.
[6]	欧阳丹彤, 范琪. 子句级别语境感知的开放信息抽取方法[J]. 吉林大学学报(工学版), 2018, 48(5): 1563-1570.
[7]	刘富, 兰旭腾, 侯涛, 康冰, 刘云, 林彩霞. 基于优化k-mer频率的宏基因组聚类方法[J]. 吉林大学学报(工学版), 2018, 48(5): 1593-1599.
[8]	桂春, 黄旺星. 基于改进的标签传播算法的网络聚类方法[J]. 吉林大学学报(工学版), 2018, 48(5): 1600-1605.
[9]	刘元宁, 刘帅, 朱晓冬, 陈一浩, 郑少阁, 沈椿壮. 基于高斯拉普拉斯算子与自适应优化伽柏滤波的虹膜识别[J]. 吉林大学学报(工学版), 2018, 48(5): 1606-1613.
[10]	车翔玖, 王利, 郭晓新. 基于多尺度特征融合的边界检测算法[J]. 吉林大学学报(工学版), 2018, 48(5): 1621-1628.
[11]	赵宏伟, 刘宇琦, 董立岩, 王玉, 刘陪. 智能交通混合动态路径优化算法[J]. 吉林大学学报(工学版), 2018, 48(4): 1214-1223.
[12]	黄辉, 冯西安, 魏燕, 许驰, 陈慧灵. 基于增强核极限学习机的专业选择智能系统[J]. 吉林大学学报(工学版), 2018, 48(4): 1224-1230.
[13]	傅文博, 张杰, 陈永乐. 物联网环境下抵抗路由欺骗攻击的网络拓扑发现算法[J]. 吉林大学学报(工学版), 2018, 48(4): 1231-1236.
[14]	曹洁, 苏哲, 李晓旭. 基于Corr-LDA模型的图像标注方法[J]. 吉林大学学报(工学版), 2018, 48(4): 1237-1243.
[15]	侯永宏, 王利伟, 邢家明. 基于HTTP的动态自适应流媒体传输算法[J]. 吉林大学学报(工学版), 2018, 48(4): 1244-1253.