## 2 Proposed Fusion Scheme
The best outcomes are given in bold, and the research [20] indicates that the proposed strategy is more effective than the alternatives. Figure 11: Multi-focus image of a book from various perspectives. Original Image: (**a**), Multi-focus Input Images: (**b**,**c**), and Proposed Fusion: (**d**). Figure 12: Multi-focus image of a flower from various perspectives. Original Image: (**a**), Multi-focus Input Images: (**b**,**c**), and Proposed Fusion: (**d**). \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**MIF-Methods** & \(SSIM\) & \(Q^{ABF}\) & \(AG_{F}\) & \(CC\) & \(E(F)\) &



### Comparison of Lab Image Fusion with the Literature

The lab, depicted in Figure 13, is used to evaluate the sixth multi-focus image. In Figure 13, the original image is depicted in (a). Images with a left focus and a right focus, respectively, are shown in Figure 13b,c. Left-side focus is referred to as a \"left focused image\", while the right-side focus is referred to as a \"left focused image\", while the right-side focus is referred to as a \"right unfocused image.\" A right-focused image has only its right side considered; the left side has not been taken into consideration. After the technique has been used effectively, Figure 13d illustrates the process of producing the all-in-focus image. The following parameters--\(E(F)\), \(Q_{E}\), \(AG_{F}\), \(SSIM\), \(CC\), and \(Q^{AB/F}\)--are computed to assess the proposed technique performance. The performance of the proposed strategy is then contrasted with that of other approaches previously reported in the literature. The comparison's findings are displayed in Table 7 of the report. The best results are highlighted in bold, and the literature [20] indicates that the proposed strategy is more effective than existing methods. ### Comparison of Leaf Image Fusion with the Literature

In Figure 14, a leaf is used to evaluate the sixth multi-focus image. In Figure 14, the original image is depicted in (a). Images with a left focus and a right focus, respectively, are shown in Figure 14b,c. Left-side focus is referred to as a \"left focused image\", while the right-side focus is referred to as a \"right unfocused image\". The image is concentrated on its right side but not on its left. Following a successful strategy implementation, Figure 14d depicts the procedure for producing the entire in-focus image. To evaluate the performance of the proposed technique, the following parameters are computed: \(Q_{E}\), \(E(F)\), \(SSIM\), \(AG_{F}\), \(Q^{AB/F}\), and \(CC\). The proposed strategy's performance is then compared to other approaches already published in the literature. The comparison's findings are displayed in Table 8 of the report. The best results are highlighted in bold, and the literature [20] indicates that the proposed strategy is more effective than existing methods. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**MIF-Methods** & \(Q_{E}\) & \(Q^{AB/F}\) & \(E(F)\) & \(CC\) & \(AG_{F}\) & \(SSIM\) \\ \hline PA-DCPCNN & 0.8617 & 0.8869 & **7.2212** & **0.9687** & 14.3156 & 0.9477 \\ Proposed Method & **0.9069** & **0.9970** & 7.2059 & 0.9651 & **14.3306** & **0.9907** \\ \hline \hline \end{tabular}
\end{table} 
Table 6: The results and comparisons for flower image ([20]). Figure 13: Multi-focus image of a lab from various perspectives. Original Image: (**a**), Multi-focus Input Images: (**b**,**c**), and Proposed Fusion: (**d**). \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**MIF-Methods** & \(SSIM\) & \(CC\) & \(Q^{AB/F}\) & \(AG_{F}\) & \(E(F)\) & \(Q_{E}\) \\ \hline PA-DCPCNN & 0.9122 & **0.9791** & 0.8996 & 6.6468 & 7.1178 & 0.8675 \\ Proposed Method & **0.9922** & 0.9776 & **0.9962** & **6.6539** & **7.1336** & **0.9261** \\ \hline \hline \end{tabular}
\end{table} 
Table 7: The results and comparisons for lab image ([20]). ### Comparison of Pepsi Image Fusion with the Literature

Pepsi, which is depicted in Figure 15, is the seventh multi-focus image that is being evaluated. In Figure 15, the original image is depicted in (a).