Landweber Iteration-Inspired Network for Image Super-Resolution

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Method</td><td class="align_center">LR</td><td class="align_center">VDSR</td><td class="align_center">LandNet</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">LR</td><td class="align_center">0</td><td class="align_center">−1</td><td class="align_center">−1</td></tr><tr><td class="align_left">VDSR</td><td class="align_center">1</td><td class="align_center">0</td><td class="align_center">−1</td></tr><tr><td class="align_left">LandNet</td><td class="align_center">1</td><td class="align_center">1</td><td class="align_center">0</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Two sample <i>T</i>-test comparisons among LR, VDSR, and our methods.</div>

Mathematical Problems in Engineering

tab5

Table 5

Table 5: Landweber Iteration-Inspired Network for Image Super-Resolution 