MATLAB Source Code for Weighted Image Fusion Algorithms

Below is the MATLAB source code for weighted image fusion algorithms, implementing both IHS (Intensity-Hue-Saturation) and PCA (Principal Component Analysis) fusion techniques. These algorithms are primarily applied in GSM satellite image processing workflows. The implementation includes key functions for color space transformation (IHS) and eigenvalue decomposition (PCA), allowing users to adjust weighting parameters for optimal spectral and spatial preservation. Example images are provided to clearly demonstrate the processing effects, where users can observe enhanced image quality through improved sharpness and color consistency. Parameters such as fusion weights and component selection thresholds can be customized to achieve better fusion results based on specific application requirements. The code structure follows modular design with separate functions for image preprocessing, transformation calculations, and result visualization. We hope this technical resource proves valuable for your image processing projects.