关键词: 图像复原, 模糊核, 全变分正则化, 平均结构相似度

Abstract: Motion blur is a common phenomenon which is caused by the relative motion between the camera and scene during the capture processing.Obviously，the blurred images can reduce the reference value for people.In this paper，a modified adaptive non-convex total variation regularization model is proposed for restoration of motion blurred image based the local structure architectural features and orientation information measure.The proposed model can suppress the ringing effect effectively by using the global and local priori information of the target image.The experimental results show that the introduced model can deblur the blurry image with suppressing ringing effect effectively.And the peak signal to noise ratio，mean structural similarity and subjective visual effect of the denoised images are improved obviously.

Key words: image restoration, blur kernel, total variation regularization, mean structural similarity