Estimation of motion blur parameters using cepstrum analysis

In this paper, we propose a novel estimation method of the parameters of motion blur, which is caused by the camera or object motion during the image and video capture. In the proposed method, the motion blur is characterized by the blur orientation and length in cepstrum domain. To a better estimation of orientation and length of the motion blur in the cepstrum domain, we use the difference of Gaussian as the input of the cepstrum transform, without additional transform such as Hough or Radon transform. We propose a simple and effective method, which separates blur components from image components. Simulations with various sets of simulated and real motion blurred images show the effectiveness of the proposed algorithm in terms of the quality. The proposed algorithm is computationally efficient and easy to use.