Image Super-Resolution Network Based on Feature Fusion Attention

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Method</td><td class="align_center">Parameters size (M)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">SRCNN</td><td class="align_center">16.41</td></tr><tr><td class="align_left">RDN</td><td class="align_center">33.58</td></tr><tr><td class="align_left">SwinIR</td><td class="align_center">36.79</td></tr><tr><td class="align_left">DeFiAN</td><td class="align_center">21.57</td></tr><tr><td class="align_left">Our method</td><td class="align_center">27.96</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Parameter size of different method.</div>

Journal of Sensors

tab3

Table 3

Table 3: Image Super-Resolution Network Based on Feature Fusion Attention 