In order to restore a motion blurred image to a clear image, a blind image deblurring method based on dark channel and low-rank priors was proposed.Firstly, the sparsity of dark channel was used to estimate the intermediate restored image, and weighted low-rank prior constraint was introduced to suppress the noise in the intermediate restored image, so as to improve the accuracy of the fuzzy kernel estimation.Then, the accurate blurred kernel was obtained by the optimization strategy of alternating iterations.Finally, the Hyper-Laplacian prior method was used to get the clear image.The experimental result shows that the proposed method can effectively suppress noise and ringing effect, retain image details, and has a good restoration effect for a motion blurred image.