Abstract: The motion blur generated by the relative motion during the object and the imaging system is one of the most common reasons for image degradation, so the precision estimation of the motion blur parameters（blur orientation and length） has made a great impact on deblurred image. Observing from the process of the motion blur, this paper uses the Radon transform to find the blur orientation（angle θ）, then will get the blur length after making an analysis on the cepstrum of blurred image. The experimental results show that this algorithm is simple and effective.It is reliable for the motion blur parameters.

Key words: motion blur, Radon transform, cepstrum, blur orientation, blur length

摘要： 物体和成像系统之间的相对运动使图像产生运动模糊是最常见的图像降质原因之一，因此运动模糊参数的精确估计（模糊角度和模糊尺度）直接影响图像的去模糊效果。结合运动模糊图像的产生过程，利用Radon变换得到模糊角度，对图像倒频谱作进一步分析得到运动模糊尺度。实验结果表明，该算法简单有效，得到的运动模糊参数是比较准确的。

关键词: 运动模糊, Radon变换, 倒频谱, 模糊角度, 模糊尺度