Image Fusion Program Code - MATLAB Version with Implementation Examples

In our daily lives, digital image processing has become increasingly prevalent as it enables us to enhance image quality, making images clearer, brighter, and more visually appealing. Consequently, mastering digital image processing has evolved into an exceptionally valuable skill. The MATLAB version of image fusion program code serves as a crucial tool in this domain, implementing algorithms that combine multiple source images into a single composite image with improved information content. This implementation typically employs techniques such as wavelet transform, pyramid decomposition, or principal component analysis to merge complementary features from different images. The program code is not only essential for professionals in computer vision and image processing fields but also highly beneficial for anyone interested in digital image processing concepts. It offers excellent learning opportunities and hands-on experience, allowing users to better understand fundamental principles of image fusion through practical MATLAB implementation. The code structure generally includes key functions for image preprocessing, transformation domain processing, fusion rules application, and image reconstruction, providing comprehensive insight into the complete image fusion workflow.