Newland, C.Gray, D.Gibbins, D.de Figueiredo, R.2008-05-212008-05-212007Proceedings of the 9th IASTED International Conference on Signal and Image Processing / R.J.P. de Figueiredo (ed.):pp.58-639780889866751http://hdl.handle.net/2440/44693Video super-resolution is the process of estimating a highresolution image from a motion sequence of low-resolution image frames. This paper examines the convergence properties of the modified Kalman filter super-resolution algorithm introduced in [1]. Most significantly, the ratio of the system and measurement noise variances is shown to be a highly useful control parameter of the convergence rate, super-resolution image sharpness, and the algorithm's behaviour in the presence of noise.enConference paper00200739352-s2.0-5614911515646693