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基于广义运动模糊模型的前向运动模糊核
Forward-Motion Blurring Kernel Based on Generalized Motion Blurring Model
【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.
【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;
- 【文献出处】 软件学报 ,Journal of Software , 编辑部邮箱 ,2016年08期
- 【分类号】TP391.41
- 【下载频次】119