Since images from laser active imaging system on moving flat are blurred and polluted by kinds of noise, state of the art image deblurring techniques which are sensitive to image noise cannot achieve satisfying results. A new deblurring method for laser active imaging system based on directional filters is proposed. The key observation is applying a group of directional filters to the blurry and noisy image to reduce the noise level and estimate the blur kernel. For each directional filter, compute the Radon transform of the blur kernel along the orthogonal direction of the filter. Then the two-dimensional (2D) blur kernel can be reconstructed by inverse Radon transform. The last step is to restore the sharp image due to the blur kernel. An active imaging system is built up for experiment and the results indicate that compared with state of the art blind image deblurring techniques, the proposed method not only drastically improves the image quality in term of subjective visual, but also remarkably improves the PSNR.