Forward-motion blurring kernel based on generalized motion blurring model

作者：Jiang Xin Lan^*; Wang Liang; Luo Xiao Yue; Wang Sheng Chun; Luo Si Wei

来源：Journal of Software, 2016, 27(8): 2135-2146.

DOI：10.13328/j.cnki.jos.004864

• Blurring kernels
• Convolutional kernel
• High
• speed railways
• Image blurring
• Numerical calculation
• Passive navigation
• Specific problems
• Theoretical foundations

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.

• 出版日期2016
• 单位北京交通大学