Wiener filter for zoom parameter estimation in three-parameter motion model

Abstract

From the linearized Taylor series expansion, an iterative, gradient-based method is used to estimate the zoom and pan motion parameters. In order to take into account the high order expansion error, the Wiener filtering techniques are investigated. It is shown that the expansion error can be efficiently removed with the Wiener filter. However, the reliability of the estimated parameters is still highly dependent upon the accuracy of the gradient information of the images.