Multi-stage image deblurring using long/short exposure time image pair

This paper proposes a multi-stage de-blurring algorithm which iteratively estimates a blur kernel from a short and long exposure-time image pair, and de-convolutes the long exposure-time image by using the estimated blur kernel. Experimental results show that the proposed algorithm provides sharper details and smaller artifacts than the state-of-the-art algorithms.