Brain Medical Image Fusion Based on Dual-Branch CNNs in NSST Domain

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="9"><hr/></td></tr><tr><td class="align_left">Methods</td><td class="align_center">LP</td><td class="align_center">DTCWT</td><td class="align_center">CVT</td><td class="align_center">NSST-PAPCNN</td><td class="align_center">SR-CVT</td><td class="align_center">NSCT-PCNN</td><td class="align_center">NSST-SR</td><td class="align_center">Proposed</td></tr><tr><td class="align_left">Time</td><td class="align_center">0.03</td><td class="align_center">0.43</td><td class="align_center">1.98</td><td class="align_center">7.68</td><td class="align_center">2.54</td><td class="align_center">18.73</td><td class="align_center">15.36</td><td class="align_center">6.73</td></tr><tr class="table-tr"><td colspan="9"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The average running times of different methods (times/second).</div>

BioMed Research International

tab2

Table 2

Table 2: Brain Medical Image Fusion Based on Dual-Branch CNNs in NSST Domain 