基于卡尔曼运动模型模糊图像恢复技术研究

Blur Image Restoration Based on Kalman Motion Model

  • 摘要: 提出了一种基于卡尔曼运动模型进行运动模糊图像退化过程分析的方法,设计了基于卡尔曼运动质量退化模型的运动模糊图像恢复算法,该方法逼近实际的运动模型。通过对火车称重系统中的模糊影像恢复实验,表明了该恢复技术的有效性。

     

    Abstract: This paper presents a method for image quality descending analysis to the motion blur images using the Kalman motion model.The image restoration algorithm based on the Kalman motion model is designed for the motion blur images restoration processing.The detail restoration steps based on the Kalman model are designed, and the corresponding quality assessment methods are selected to evaluate the restoration quality.The restoration results of the blur freight car images in the freight car weighting system show that the blur images get high quality and the restoration algorithm is effective.

     

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