Accurate estimation of motion blur parameters at short blurred extent based on Radon transform

An improved algorithm based on Radon transform is proposed to identify the motion blur parameters of image at short blurred extent more accurately. Considering that the spectrogram of motion blurred image is transformed into an alternate dark and bright projection line at perpendicular direction of dark stripe by Radon transform, the position of alternate dark and bright projection line in Radon transform image should be determined. The motion blur parameters can be determined by the Radon transform angle which corresponds to the projection line and the resolution of motion blurred image. The experimental results show that the estimated error in blurred direction is less than 1° and the estimated error of blurred extent is less than 0.5 pixels when the blurred extent is 5~10 pixels. The estimation accuracy of improved algorithm is higher than other algorithm at short blurred extent.