Multidimensional optical video signals superposition for measurement offset, rotation angle, and scale with additive and multiplicative noise

The estimation of the offset, angle rotation, and other deformation of multidimensional optical video signals is an important task at intelligence video systems. One of the main tasks for estimation of the multidimensional signal deformation is increasing the speed of data processing. The television signals characterized a significant volume of data. This property is a constraint for applying brute force methods. Those methods are the universal solution for estimating unknown parameters of the parametric model. This research describes the issue of measurement offset, rotation, and scale with additive and multiplicative noise for spatial-temporal superposition of television images. The reduction of time processing is provided by the iteration procedure of unknown parameters estimation. This procedure consists of approximation by separate estimate offsets, scale, and rotates.