Super-Resolution of Magnetic Resonance Images via Convex Optimization with Local and Global Prior Regularization and Spectrum Fitting

<table class="fixed-width table-group" id="tab2"><tr><td><table class="table"><colgroup><col style="width:11.64em"/><col style="width:4.44em"/><col style="width:3.31em"/><col style="width:3.76em"/><col style="width:2.97em"/><col style="width:5.51em"/></colgroup><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left"><b>Methods </b></td><td class="align_center"> LRTVG </td><td class="align_center"> TVG </td><td class="align_center"> LRTV </td><td class="align_center"> TV </td><td class="align_center"> Gerchberg </td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left"><b>Avg. Process. Time (sec.) </b></td><td class="align_center"> 5.73</td><td class="align_center"> 4.81</td><td class="align_center"> 5.24</td><td class="align_center"> 4.54</td><td class="align_center"> 4.86</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

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International Journal of Biomedical Imaging

tab2

Table 2

Table 2: Super-Resolution of Magnetic Resonance Images via Convex Optimization with Local and Global Prior Regularization and Spectrum Fitting 