Robust Identification of Motion Blur Parameters by Using Angles of Gradient Vectors

The estimation of the point-spread function (PSF) is one of very important and indispensable tasks for the practical image restoration. Especially, for the motion blur, various PSF estimation algorithms have been developed so far. However, a majority of them becomes useless in the highly noisy environment. This paper describes a new robust PSF estimation algorithm based on Hough transform concerning gradient vectors, which can accurately and robustly estimate the motion blur PSF even in highly noisy case. The effectiveness and validity of the proposed algorithm are verified by applying it to the PSF estimation for noisy and motion blurred images.