Research on Image Super-Resolution Reconstruction Technology Based on Unsupervised Learning

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2">Index</td><td class="align_center" colspan="3">Image degraded model</td></tr><tr class="thead"><td class="align_center">Bicubic</td><td class="align_center">Gaussian</td><td class="align_center">Ours</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">PSNR</td><td class="align_center">22.282</td><td class="align_center">25.935</td><td class="align_center">25.440</td></tr><tr><td class="align_left">SSIM</td><td class="align_center">0.738</td><td class="align_center">0.842</td><td class="align_center">0.819</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of objective evaluation indexes of different degradation models.</div>

International Journal of Aerospace Engineering

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Table 3

Table 3: Research on Image Super-Resolution Reconstruction Technology Based on Unsupervised Learning 