Image blur estimation

Image processing method's efficiency depends substantially on both initial image quality and method's options tuning. In particular, if one knows image's blur, it helps to choose most adequate options of the applied methods. That in turn raises the processing quality up too obtainable for the method. The paper studies the problem of obtaining a priory blur estimation for monochrome grey-level images. The estimation is given for the blur window size in cases of Gauss and uniform initial image blur.