Forward-Motion Blurring Kernel Based on Generalized Motion Blurring Model
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National Natural Science Foundation of China (61272354, 61273364, 61300176, 61473031, 61472029); Beijing Natural Science Foundation of China (4152042); Fundamental Research Funds for the Central Universities of China (2013JBM019)

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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.

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蒋欣兰,王亮,罗晓月,王胜春,罗四维.基于广义运动模糊模型的前向运动模糊核.软件学报,2016,27(8):2135-2146

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History
  • Received:March 18,2015
  • Revised:June 01,2015
  • Adopted:
  • Online: August 08,2016
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