# Illuminant Adaptive Wideband Image Synthesis Using Separated Base-Detail Layer Fusion Maps
## 4 Simulation Results
In the night image, compared to the existing Densfuse synthesis method, the proposed method improves visibility by increasing the brightness in the dark area of the visible-light image, such as the area inside the box in Figure 16 or the area outside the door in Figure 18. It can be confirmed that detailed information is better expressed in the letters on the cup in Figure 16 or in the text in the book in Figure 17 Thus, it can be confirmed that the identification is excellent. In addition, in the Vanmali and PCA synthesis method, block noise is generated by oversaturation compensation in the dark areas of the visible-light image; thus, the identification is reduced throughout the image. However, compared with the previous two methods, the proposed method shows excellent detail expression performance while expressing the natural color by revealing details without oversaturation symptoms and noise. Figure 15: Daytime input and result images (3): (a) visible-light image and near-infrared image, (b) Densefuse method result, (c) Vanmali method result, (d) PCA method result, (e) proposed method result. Figure 16: Nighttime input and result images (1): (**a**) visible-light image and near-infrared image, (**b**) Densewise method result, (**c**) Vanmali method result, (**d**) PCA method result, (**e**) proposed method result. Figure 17: Nighttime input and result images (2): (**a**) visible-light image and near-infrared image, (**b**) Densewise method result, (**c**) Vanmali method result, (**d**) PCA method result, (**e**) proposed method result. Figure 19 shows the resulting images according to the synthesis method. Tables 1-6 and Figure 20 show the quality and sharpness scores of the resulting images according to the performance indicators. For quantitative evaluation, indices that evaluate the image quality and sharpness S3 (spectral and spatial sharpness), visual information fidelity for fusion (VIFF), spatial frequency (SF), local phase coherence sharpness index (LPC-SI), edge intensity (EI), and average gradient (AG) were used. Figure 19: _Cont._  
Figure 12:0 Nighttime input and result images (3): (**a**) visible-light image and near-infrared image, (**b**) Densefuse method result, (**c**) Vanmali method result, (**d**) PCA method result, (**e**) proposed method result. Figure 12:1 _Cont._  
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline  & **Half Mixed** & **Low Rank** & **Dense Fusion** & **Vanmali** & **PCA Fusion** & **Proposed** \\ \hline
1 & 0.74178 & 0.181196 & 0.197622 & 0.233407 & 0.289241 & 0.298935 \\
2 & 0.199256 & 0.209302 & 0.20 \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline  & **Half Mixed** & **Low Rank** & **Dense Fusion** & **Vanmali** & **PCA Fusion** & **Proposed** \\ \hline
1 & 0.955372 & 0.964734 & 0.960554 & 0.95496 & 0.960093 & 0.963412 \\
2 & 0.951973 & 0.96309 & 0.952825 & 0.96345 & 0.962063 & 0.955613 \\
3 & 0.940863 & 0.954856 & 0.945167 & 0.94834 & 0.94615 & 0.961987 \\
4 & 0.933977 & 0.95032 & 0.937741 & 0.937994 & 0.940312 & 0.958902 \\
5 & 0.912469 & 0.906715 & 0.922604 & 0.928372 & 0.937174 & 0.954875 \\
6 & 0.947806 & 0.955256 & 0.94787 & 0.947966 & 0.947871 & 0.964539 \\
7 & 0.963834 & 0.962881 & 0.96352 & 0.970573 & 0.96687 & 0.973125 \\
8 & 0.956019 & 0.962156 & 0.955143 & 0.955262 & 0.952006 & 0.968308 \\
9 & 0.956409 & 0.961442 & 0.95589 & 0.957297 & 0.955774 & 0.966371 \\
10 & 0.973693 & 0.966751 & 0.973387 & 0.972475 & 0.972709 & 0.982896 \\
11 & 0.95826 & 0.964662 & 0.958383 & 0.969902 & 0.968848 & 0.978657 \\
12 & 0.95942 & 0.959802 & 0.95985 & 0.957279 & 0.94973 & 0.958169 \\
13 & 0.955009 & 0.965001 & 0.954265 & 0.957888 & 0.950951 & 0.966305 \\ \hline Average & 0.951182 & 0.956744 & 0.952861 & 0.95552 & 0.954658 & 0.965628 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Comparison of the LPC SI metrics.