**5. Efficiency Study**

In order to compare the computational time and learnable parameters of different methods, we record the results of different methods on the full-resolution experiments from WV4 datasets as shown in Table 8. All traditional methods are implemented using MATLAB and tested on an Intel Core i7-12700K CPU. DL-based methods are tested on a desktop with an Nvidia RTX 3090 GPU. As shown in Table 8, the traditional methods take more computational time than the DL-based methods. PRACS is the slowest method, whose computational time is about 1s per image. As for DL-based methods, although MDA-Net has achieved good results in previous experiments, it needs more time and computational cost to generate the fused images. Although SSIN has a slightly larger number of parameters than other DL-based methods except for MDA-Net, it has better performance.


**Table 8.** Performance comparison of different methods.
