Motion estimation and compensation under varying illumination

In this paper we propose a new approach to motion-compensated filtering of image sequences that contain time-varying illumination. There are two contributions in this paper. First, we propose a new method for the estimation of dense 2-D motion that is robust to time-varying illumination often present in images. We define the structural model that is based on the assumption of intensity gradient constancy along motion trajectories. This is in contrast to the usual hypothesis of the intensity constancy. Secondly, we apply the proposed approach to motion-compensated temporal interpolation. We compare the image reconstruction error obtained using the new approach with the error obtained for standard models