Spatio-temporal resolution enhancement of video sequence based on super-resolution reconstruction

This paper proposes a new spatio-temporal resolution enhancement method of video sequences based on superresolution reconstruction. The proposed method derives a new observation model based on feature point correspondence between successive frames. The observation model is defined by including the motion estimation function in computing the warping matrix. Also, a new constraint is introduced to the optimization formula for estimating the parameters of the observation model, in order to achieve effective resolution-enhancement. By the newly obtained matrix and the new constraint introduction make accurate high-resolution and high frame rate video sequences. Simulation results are shown to confirm the high performance of the proposed method.