Regularization Function for Video Super-Resolution Using Auxiliary High Resolution Still Images

In this paper video super-resolution using sequences generated by dual-mode cameras is studied. Dual-mode cameras are capable to shoot high-resolution still images at a low rate while taking low-resolution video from the scene. An algorithm for video super-resolution is proposed which uses high-resolution still images generated by the dual-mode cameras for super-resolution process. We use high-resolution still images to form a regularization function and use it for the de-blurring stage of the super-resolution process. The simulation results show that performance of the proposed algorithm is superior in terms of recovering high-frequency details of the original video and edge reconstruction.