Robust kernel estimation for single image blind deconvolution

Most of the state-of-the-art algorithms of restoring single blurred image are sensitive to image noise and artifacts. Our idea is to learn an adaptive filter for blind deconvolution to remedy this problem. We use this auxiliary filter to progressively suppress image noise in early stage of kernel estimation, leading to a robust kernel estimation algorithm. Our approach can naturally handle image noise and improve performance of single image blind deconvolution. Experiments suggest that our approach is more robust than other methods in restoration of blurred images.