Regularized image sequence interpolation by fusing low-resolution frames

This paper presents the feasibility of using different data sets, which correspond to the same scene to get a better resolution and information of the scene than the one obtained using only one data set. We propose a regularized image sequence interpolation algorithm, which can restore high frequency details by fusing low-resolution frames. In order to apply the regularization approach to the interpolation procedure, we use a two-dimensional separable image degradation model for a low resolution imaging system. The proposed algorithm provides a better-interpolated image by fusing low-resolution frames