Suppression of a quasi-stationary background in a sequence of images by means of interframe processing

Abstract

Various methods of background compensation in a sequence of images are analyzed under conditions where the main change in the background is its spatial shift. Methods of estimating the background in a current frame by means of interpolation of data contained in the previous frames are considered. Analytical estimates of the compensation error are given as functions of the spectral properties of images and interpolation methods. Results of numerical experiments are reported, which confirm these analytical estimates and show that the use of local interpolating filters allows extremely low errors of compensation.