Joint estimation of motion and illuminationvariations for coding of image

This paper describes a new approach to the problem of motion estimation for the coding of image sequences. The goal is to obtain an eecient description (parametrization) of temporal variations between two successive images in a sequence. To achieve this we propose to use the standard hypothesis of luminance constancy along a motion trajectory simultaneously introducing a polynomial representation of illumination variations. The estimation process consists of two iteratively alternating stages: a region-based estimation of apparent 2D motion parameters and an estimation of 2D illumination variations. Such an approach reduces the residual reconstruction error after motion compensation due to improved estimation of motion parameters.