The invention discloses a method for removing blurring effect in X-
ray scattering and
diffraction experiments. The method comprises the steps of measuring the distribution of straight spots on a two-dimensional
detector to obtain h (x, y), measuring the scattering data of an experimental sample to obtain g (x, y), performing
Fourier transform on h (x, y) and g (x, y), respectively, thereby obtaining the distribution H (u, v) of the straight spots in the reciprocal space and the distribution G (u, v) of the scattering data in the reciprocal space, performing
deconvolution processing on the experimental data H (u, v) and G (u, v) by use of a Wiener filtering
algorithm to obtain the
Fourier transform F (u, v) of blurring effect-removed data f (x, y), performing inverse
fast Fourier transform on F (u, v) to obtain the blurring effect-removed data f (x, y), and adjusting the parameter alpha according to the results of f (x, y) until the desired
deconvolution result is obtained. The method for removing the blurring effect in the X-
ray scattering and
diffraction experiments is used for performing the
deconvolution processing on the experimental data. Due to the adoption of the method, the angle resolution of the X-
ray small-angle scattering data can be increased and the experimental accuracy can be improved.