Application of Discrete Mathematical Model in Edge Distortion Correction of Moving Image

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">Experience group</td><td class="align_center">Control group</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Correlation coefficient</td><td class="align_center">0.9768</td><td class="align_center">0.8730</td></tr><tr><td class="align_left">Mean absolute error</td><td class="align_center">2.7437</td><td class="align_center">5.7570</td></tr><tr><td class="align_left">Root mean square error</td><td class="align_center">3.3643</td><td class="align_center">7.6680</td></tr><tr><td class="align_left">Rank correlation coefficient</td><td class="align_center">0.9755</td><td class="align_center">0.8953</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of edge correction performance of Gauss blur distortion image.</div>

Discrete Dynamics in Nature and Society

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Table 1

Table 1: Application of Discrete Mathematical Model in Edge Distortion Correction of Moving Image 