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

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/ijae/volume-2023/8860842/figures/8860842.fig.007a.svgz" name="8860842.fig.007a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Original infrared image</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/ijae/volume-2023/8860842/figures/8860842.fig.007b.svgz" name="8860842.fig.007b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>The blur kernel generated by the algorithm in this paper and the degraded image generated by it</td></tr><tr class="fig-image" id="c"><td><object data="https://static-preview.hindawi.com/articles/ijae/volume-2023/8860842/figures/8860842.fig.007c.svgz" name="8860842.fig.007c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Degraded image generated by bicubic downsampling and Gaussian blur</td></tr></table>

<div>Infrared image degradation experiment results.</div>

International Journal of Aerospace Engineering

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Figure 7

Figure 7: Research on Image Super-Resolution Reconstruction Technology Based on Unsupervised Learning 