## 5 Experiment and Result Analysis
### Comparative Experiment of Image Recognition  
It can be seen from Figure 6 that the HR infrared image reconstructed by our proposed method has clearer and richer details. Therefore, the correct matching rate is significantly improved compared with the contrast method when performing feature point matching and recognition with the visible light sample image. Tables 3 and 4 respectively show the number of feature points and the correct recognition rate of the infrared images reconstructed by different methods. The experimental results are mutually corroborated with Figure 6, which reflects the superiority of our method. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Image** & & & & & \\
**Number** & **Keys** & **Shao** & **Li** & **[PERSON]** & **Ours** \\ \hline
1 & 19.775 & 27.041 & 30.884 & 29.349 & 32.264 \\
2 & 22.088 & 29.501 & 34.080 & 32.242 & 35.862 \\
3 & 21.673 & 29.864 & 34.454 & 35.397 & 37.037 \\
4 & 18.224 & 20.516 & 23.267 & 25.403 & 24.967 \\
5 & 18.663 & 26.544 & 29.113 & 28.802 & 30.924 \\
6 & 17.382 & 25.653 & 26.671 & 26.239 & 28.594 \\
7 & 24.436 & 34.371 & 35.125 & 37.538 & 42.723 \\
8 & 20.335 & 26.411 & 34.929 & 27.216 & 32.857 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Comparison of AG indexes of images reconstructed using different methods. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Image** & & & & \\
**Number** & **[PERSON]** & **[PERSON]** & **[PERSON]** & **[PERSON]** & **[PERSON]** \\ \hline
1 & 5504 & 6.203 & 6.111 & 6.048 & 6.276 \\
2 & 6.597 & 6.419 & 6.653 & 6.706 & 6.948 \\
3 & 6.318 & 6.581 & 6.738 & 6.442 & 6.281 \\
4 & 5.530 & 5.603 & 5.762 & 5.891 & 5.806 \\
5 & 6.103 & 6.143 & 6.249 & 6.543 & 6.698 \\
6 & 5.609 & 5.581 & 5.609 & 5.191 & 5.792 \\
7 & 6.742 & 6.764 & 6.865 & 6.782 & 6.876 \\
8 & 5.713 & 5.862 & 5.790 & 5.983 & 5.316 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Comparison of IE indexes of images reconstructed using different methods. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Image** & & & & \\
**Number** & **LR** & **[PERSON]** & **[PERSON]** & **[PERSON]** & **[PERSON]** & **[PERSON]** \\ \hline
1 & 257 & 278 & 351 & 377 & 385 & 405 \\
2 & 219 & 248 & 309 & 328 & 334 & 365 \\
3 & 153 & 164 & 210 & 223 & 221 & 252 \\
4 & 256 & 276 & 351 & 375 & 379 & 416 \\
5 & 185 & 209 & 267 & 282 & 292 & 326 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: The number of feature points detected in images reconstructed by different methods. ### Comparative Experiment of Image Recognition  
The intermediate results produced during the image diagnosis process are shown in Figures 7-12, and the final diagnosis results are shown in Figure 13. It can be seen from Figure 13 that the detection area obtained by our method has the highest agreement with the actual device label image, and does not include the base of the transformer bushing. Compared with the actual device label image, the detection area obtained by other methods contains different degrees of the base of the transformer bushing. As a result, Figure 13b-e misdiagnosed the base of transformer bushing as a defective area of transformer bushing. According to the \"Application rules of infrared diagnosis for live electrical equipment\", the diagnostic standards for different equipment are different. Since the bushing base is connected to the transformer tank, the internal oil temperature is relatively high, and the temperature of the bushing base is often higher than the surface temperature of the bushing. Therefore, the criteria for judging these two defects, i.e., \"hot spot temperature or temperature difference\" should be different. The image reconstructed by our method has clear edges, high contrast, and more obvious contours. Therefore, the image quality improvement of our method can improve the accuracy of equipment recognition, improve the accuracy of equipment area extraction, and improve the accuracy of defect diagnosis in the area to be detected in the infrared image diagnosis of equipment, thereby realizing accurate judgment of equipment operation.