A face deblurring method, characterized in comprising the following steps: acquiring (S11) a face image to be processed; aligning (S12) the face image to be processed onto a face mask, and performing grid division on the same; matching (S13) each grid of the divided face image to be processed with a grid of a first grid dictionary, so as to obtain a plurality of blurred grids corresponding to each grid of the face image to be processed, wherein the first grid dictionary is obtained by dividing a first two-dimensional image library according to the face mask after alignment, and the first two-dimensional image library is a two-dimensional image library of blurred images constructed using a first three-dimensional image library obtained via a three-dimensional reconstruction method; querying (S14) in a second grid dictionary a plurality of clear grids corresponding to the plurality of blurred grids on a one to one basis, according to the blurred grids, wherein the second grid dictionary is obtained by dividing a second two-dimensional image library according to the face mask after alignment, the second two-dimensional image library is a two-dimensional image library of clear images constructed using a second three-dimensional image library obtained via the three-dimensional reconstruction method, and the blurred images correspond to the clear images on a one to one basis; and generating (S15) a clear image of the face image to be processed according to the queried clear grids, characterized in that the first three-dimensional image library and the second three-dimensional image library are respectively a two-dimensional cylindrical exploded view of several blurred images and corresponding clear images. acquiring (S11) a face image to be processed; aligning (S12) the face image to be processed onto a face mask, and performing grid division on the same; matching (S13) each grid of the divided face image to be processed with a grid of a first grid dictionary, so as to obtain a plurality of blurred grids corresponding to each grid of the face image to be processed, wherein the first grid dictionary is obtained by dividing a first two-dimensional image library according to the face mask after alignment, and the first two-dimensional image library is a two-dimensional image library of blurred images constructed using a first three-dimensional image library obtained via a three-dimensional reconstruction method; querying (S14) in a second grid dictionary a plurality of clear grids corresponding to the plurality of blurred grids on a one to one basis, according to the blurred grids, wherein the second grid dictionary is obtained by dividing a second two-dimensional image library according to the face mask after alignment, the second two-dimensional image library is a two-dimensional image library of clear images constructed using a second three-dimensional image library obtained via the three-dimensional reconstruction method, and the blurred images correspond to the clear images on a one to one basis; and generating (S15) a clear image of the face image to be processed according to the queried clear grids, characterized in that the first three-dimensional image library and the second three-dimensional image library are respectively a two-dimensional cylindrical exploded view of several blurred images and corresponding clear images. <EOS>