Abstract: In order to solve the problem of poor restoration effect of structural blur image in edge blur kernel estimation method, a blind restoration algorithm ofprotruding structure and L0 prior is proposed in this paper. The edge of the image was estimated by using the prominent structure of the blur image, and the latent image of the middle was recovered according to the mathematical model of the blur kernel estimation, which replaced the blur image as the new input. The blur kernel and the clear image were solved by combining the L0 regularization prior constraint model. The experimental results show that the proposed method can restore the motion blurred image of structural blur image and large-scale blur kernel well, and the ringing suppression effect is remarkable, and the restoration effect is better than other algorithms.