Image Fusion Implementation Using Averaging Method

This source code implements image fusion using the averaging method. Image fusion is a technique that combines multiple images into a single composite image, which can enhance image details, improve image quality, and boost visual effects. The averaging method is a commonly used image fusion approach that generates synthesized images by calculating the average pixel values across multiple input images. This implementation processes images by iterating through each pixel position and computing the arithmetic mean of corresponding pixel values from all source images. The core algorithm involves loading multiple images into memory, validating their dimensions for compatibility, and performing element-wise averaging operations. Key functions include image reading, pixel value normalization, and weighted average calculations to handle different image intensities. This source code can be applied to various image fusion tasks such as medical imaging processing, remote sensing image analysis, and computer vision applications where combining complementary information from multiple sources is required.