Aiming at the restoration problem of motion blurred license plate images in surveillance video

a license plate image deblurring algorithm based on random sampling consistency（ RANSAC） is proposed. Firstly

Canny edge detection is performed on the blurred image the cepstrum domain

and RANSAC transform is used to estimate the blur direction. Then

the blur length is estimated by the zero component of the blur image in cepstrum domain.Finally

the blurred license plate image is restored with the advantages of Richardson-Lucy（ RL） algorithm and L0 regularization prior. The experimental results show that the proposed algorithm achieves a good recovery effect on the motion blurred license plate images both subjectively and objectively. The PSNR and SSIM values obtained from restored images is greatly improved

and it takes less time and has high efficiency.