Single image motion deblurring has been a very challenging problem in the\nfield of image processing. Although there are many researches had been proposed\nto solve this problem, it still has problems on kernel accuracy. In order\nto improve the kernel accuracy, an effective structure selection method was\nused to select the salient structure of the blur image. Then a novel kernel estimation\nmethod based on L0 2 norm was proposed. To guarantee the\nsparse kernel and eliminate the negative influence of details L0 -norm was\nused. And L2 -norm was used to ensure the continuity of kernel. Many experiments\nwere done to compare proposed method and state-of-the-art methods.\nThe results show that our method can estimate a better kernel and use\nless time than previous work, especially when the size of blur kernel is large.
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