Simple and Practical Image Data Fusion Algorithm

In this article, we present a simple yet practical image data fusion program. The program demonstrates exceptional performance with rapid execution speeds while generating high-quality fusion outcomes, making it highly suitable for various image processing applications. To facilitate comprehensive understanding, we will provide detailed explanations of its working principles and underlying algorithms, including key functions such as pixel-level integration and multi-resolution decomposition techniques. Additionally, we will examine how this program can be integrated with other image processing tools through standardized APIs to maximize its advantages in complete workflow solutions. Finally, we will conduct a thorough analysis of the program's strengths and limitations, and propose potential enhancement directions such as implementing GPU acceleration and adaptive weighting mechanisms to better address diverse application requirements.