Image Fusion Implementation with MATLAB Code
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An image fusion program is designed to merge multiple source images into a single composite image, widely applied in computer vision, image processing, and pattern recognition domains. The MATLAB implementation provides an executable solution without requiring additional configuration. The core algorithm typically involves multi-scale decomposition techniques like pyramid transforms or wavelet transforms, where source images are decomposed into different frequency bands before fusion rules are applied. Key functions include imread() for image loading, rgb2gray() for color space conversion, and custom fusion operators for combining high-frequency details and low-frequency components. The program may incorporate weighted averaging, principal component analysis (PCA), or deep learning-based fusion methods to enhance output quality through optimized pixel-level or feature-level integration.
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