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| 基于广义运动模糊模型的前向运动模糊核 |
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蒋欣兰1,2, 王亮1, 罗晓月3, 王胜春1, 罗四维1
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1.北京交通大学 计算机与信息技术学院, 北京 100044;2.中国青年政治学院 计算机教学与应用中心, 北京 100089;3.Department of Mathematics, Linfield College, OR 97128, USA
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| 摘要: |
| 从光流场的角度出发，建立了一种广义运动模糊模型，并依据该模型推导出前向运动模糊核，为高速铁路前向运动视频图像去模糊奠定了理论基础.给出了理论分析后，设计了一种快速生成前向运动模糊核的方法，在这个过程中，解决了3个具体问题：快速的运动估计方法的解析解、平面场景朝向的快速估计方法的解析解、前向运动模糊核的数值生成方法.实验结果验证了该算法的正确性. |
| 关键词: 图像模糊 非一致卷积核 光流 无源导航 模糊核 |
| DOI：10.13328/j.cnki.jos.004864 |
| 分类号: |
| 基金项目:国家自然科学基金（61272354，61273364，61300176，61473031，61472029）；北京市自然科学基金（4152042）；中央高校基本科研业务费专项资金（2013JBM019） |
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| Forward-Motion Blurring Kernel Based on Generalized Motion Blurring Model |
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JIANG Xin-Lan1,2, WANG Liang1, LUO Xiao-Yue3, WANG Sheng-Chun1, LUO Si-Wei1
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1.School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China;2.Computer Science Teaching and Application Center, China Youth University of Political Studies, Beijing 100089, China;3.Department of Mathematics, Linfield College, OR 97128, USA
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| Abstract: |
| In this paper, a generalized motion blurring model is constructed from the viewpoint of optical flow. Then based on the model, forward motion blurring kernel is deduced. The kernel provides a theoretical foundation for forward motion deblurring of high speed railway from image sequences. A fast method is also designed to estimate forward motion blurring kernel on this theory. Three specific problems are solved in this process. First, the analytical solution under quick motion estimation method is obtained. Next, the analytical solution under quick motion estimation method of planar scene direction is achieved. Lastly, the numerical calculation algorithm of forward motion blurring kernel is developed. Experimental results validate the proposed method. |
| Key words: image blurring non-uniformed convolutional kernel optical flow passive navigation blurring kernel |
