Forward-motion blurring kernel based on generalized motion blurring model

被引：0
|
作者：
Jiang X.-L. [1 ,2 ]
Wang L. [1 ]
Luo X.-Y. [3 ]
Wang S.-C. [1 ]
Luo S.-W. [1 ]
机构：
[1] School of Computer and Information Technology, Beijing Jiaotong University, Beijing
[2] Computer Science Teaching and Application Center, China Youth University of Political Studies, Beijing
[3] Department of Mathematics, Linfield College, 97128, OR
来源：
Ruan Jian Xue Bao/Journal of Software | 2016年 / 27卷 / 08期
基金：
北京市自然科学基金; 中国国家自然科学基金;
关键词：
Blurring kernel; Image blurring; Non-uniformed convolutional kernel; Optical flow; Passive navigation;
D O I：
10.13328/j.cnki.jos.004864
中图分类号：
学科分类号：
摘要：
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. © Copyright 2016, Institute of Software, the Chinese Academy of Sciences. All rights reserved.
引用
收藏
页码：2135 / 2146
页数：11
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