Modified Kalman Filtering for Image Super-Resolution: Experimental Convergence Results

C.B. Newland, D.A. Gray, and D. Gibbins (Australia)

Keywords

superresolution, Kalman filter, image reconstruction, con vergence

Abstract

Video super-resolution is the process of estimating a high resolution image from a motion sequence of low-resolution image frames. This paper examines the convergence prop erties of the modified Kalman filter super-resolution algo rithm 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 be haviour in the presence of noise.

Important Links:



Go Back