Spatiotemporal Super-Resolution Reconstruction Based on Robust Optical Flow and Zernike Moment for Video Sequences

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left">Video sequence      </td><td align="center">ZM-SR         </td><td align="center">STSR (proposed)       </td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">Satellite-1 (color)</td><td align="center">91.43 s</td><td align="center">42.78 s</td></tr><tr><td align="left">Satellite-2 (color)</td><td align="center">57.90 s</td><td align="center">38.40 s</td></tr><tr><td align="left">Suzie (gray)        </td><td align="center">19.83 s</td><td align="center">10.97 s</td></tr><tr><td align="left">Forman (color)      </td><td align="center">71.16 s</td><td align="center">40.01 s</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

The SR time efficiency in the two SR reconstruction methods. 

Mathematical Problems in Engineering

tab4

Table 4

Table 4: Spatiotemporal Super-Resolution Reconstruction Based on Robust Optical Flow and Zernike Moment for Video Sequences 