Modified Kalman filtering filtering for image super-resolution: experimental convergence results
Date
2007
Authors
Newland, C.
Gray, D.
Gibbins, D.
Editors
de Figueiredo, R.
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
Proceedings of the 9th IASTED International Conference on Signal and Image Processing / R.J.P. de Figueiredo (ed.):pp.58-63
Statement of Responsibility
Conference Name
Signal and Image Processing (9th : 2007 : Honolulu, Hawaii, USA)
Abstract
Video 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.