This study proposes a perspective transformation algorithm for light field image based on total variational projection and hole restoration. The proposed method estimates disparity maps for all subaperture views of the input light field image. The light field image with the specified posture in the specified virtual camera position is generated via back projection and reprojection optimization. Using the image restoration algorithm based on the disparity priority, we restore the central subaperture view image after perspective transformation. The central subaperture views are used for content distribution in horizontal and vertical directions, and thus the rest subaperture view images are restored orderly. Experimental results show that the perspective transformed light field images generated by the proposed method meet requirements, and the covered regions are filled correctly. The proposed method can be applied to a series of light field image editing.